Data Engineer II Jobs in Pune

AI Platform Engineer II Location: Pune Overview At Rapid7, we are looking for an AI Platform Engineer to help us build production-ready, agent-based AI experiences on Google Cloud (Vertex AI) and OpenAI platforms. You will be directly responsible for developing and shipping features such as AI agents, tools, and lightweight UIs that plug into our internal systems and data, driving productivity improvements across the company. As part of the AI Platform team, you will be involved in designing, implementing, and refining AI models and tools that integrate seamlessly with enterprise systems, while ensuring reliability, security, and scalability. Key Responsibilities Agentic Development with Vertex AI: Design and implement multi-step agents using Vertex AI (Agent Builder / Gemini), incorporating agent behaviors such as tool use, memory, and evaluation loops to create intelligent, autonomous workflows. MCP & Tool Integrations: Develop Model Context Protocol (MCP) connectors and API integrations that enable agents to interact with enterprise systems while maintaining least-privilege access and security standards. RAG & Data Grounding: Implement retrieval-augmented generation (RAG), utilizing vector stores, embeddings, and schema-aware prompts, while ensuring agents produce accurate and auditable outputs through robust guardrails. Vertex-based UI for Agents: Prototype intuitive chat interfaces and task UIs, including features like session history, tool invocation panels, and feedback widgets. Embed AI agents into existing internal applications to streamline workflows and improve user experience. Integration & Data Access: Connect AI agents to internal APIs and enterprise data sources (e.g., BigQuery, REST APIs, webhooks) using Google Cloud tools, ensuring smooth data access and system integration. Quality & Telemetry: Define key performance indicators (KPIs) such as quality, latency, and cost-efficiency for AI-powered features. Implement logging, monitoring, and observability to track performance and run structured experiments to improve agent behavior and outcomes. Requirements Experience 2 3 years of hands-on experience in software or AI application engineering, with a focus on creating and deploying custom AI agents, particularly using Gemini / Vertex AI Agent Builder. Technical Skills Proficiency with Google Cloud (Vertex AI, BigQuery, Cloud Run/Functions) and at least one large language model (LLM) API (e.g., OpenAI or Gemini). Experience building small end-to-end features, including backend APIs, agent logic, and basic UI for demos and production environments. Familiarity with agent frameworks such as LangGraph or LangChain, and common agent patterns like tool use, planning, and memory management. Knowledge of retrieval-augmented generation (RAG), including chunking, embeddings, and retrieval, along with prompt testing and evaluation. Collaboration Skills Ability to work cross-functionally with security, data, and application teams to ensure safe and efficient deployment of AI-driven solutions. Nice to Have Experience with GCP IAM, secrets management, and enterprise compliance considerations. Familiarity with Vertex AI Search, vector databases, or event/webhook architectures. Interest in emerging AI standards, MCP, responsible AI practices, and optimization for cost/performance. About Rapid7 At Rapid7, we are on a mission to create a secure digital world for our customers, industry, and communities. We empower our employees to challenge the status quo and drive transformative change. With over 11,000 customers relying on us for cybersecurity protection, we continue to innovate and solve some of the most challenging problems in the industry. Security and Compliance Rapid7 is committed to safeguarding our customers' security. All employees uphold the highest standards of security and privacy, ensuring sensitive information is protected and compliance with relevant regulations is maintained.

Automation Engineer II Location: Pune About Rapid7 At Rapid7, we are creating a more secure digital future for all by helping organizations strengthen their security programs in the face of accelerating digital transformation. Our portfolio of industry-leading solutions empowers security professionals to manage risk and eliminate threats across the entire threat landscape from applications and cloud environments to traditional infrastructure and the dark web. Trusted by over 10,000 customers worldwide, we are committed to fostering open-source communities and driving innovation through cutting-edge research. At Rapid7, we believe in optimizing our products by leveraging the latest insights into attacker methods, arming the global security community with the tools to stay ahead of threats. Position Summary We are looking for a talented Automation Engineer to join our Enterprise Applications team. This role focuses on developing and maintaining integrations and automation solutions using Workato. As an Automation Engineer, you will work closely with Business Systems Analysts to understand requirements, collaborate with cross-functional teams, and partner with Quality Assurance Engineers to ensure that integrations and automation workflows meet business needs. You will also handle unit testing, ensure thorough documentation, and use tools like Jira and Confluence for task management and collaboration. Key Responsibilities Integration Development: Design, develop, and maintain integrations between key enterprise systems (Salesforce, NetSuite, Data Warehouses, Workato, etc.) to ensure seamless data flow and process automation across platforms. Automation Solutions: Build and implement automated workflows using Workato to streamline internal business processes, reduce manual tasks, and enhance system efficiencies across various departments. Cross-functional Collaboration: Collaborate with engineers, business teams, and QA Engineers to ensure that integration solutions align with both technical requirements and business objectives. Requirement Gathering: Partner with Business Systems Analysts to gather requirements, understand business needs, and identify opportunities for process automation and integration improvements. Unit Testing & Debugging: Perform unit testing for integrations and automation workflows, debug issues as needed, and ensure the code meets quality standards before deployment. Task Management (Jira): Use Jira to manage tasks, track user stories, and address bugs related to integrations and automation workflows. Participate in sprint planning, stand-ups, reviews, and retrospectives to ensure smooth project execution and delivery. Documentation: Create and maintain detailed documentation for all integrations, workflows, and automation processes, ensuring that all technical configurations, code, and test results are clearly documented for future reference. Support & Troubleshooting: Provide ongoing support for deployed integrations, troubleshoot issues as they arise, and implement timely fixes to maintain operational continuity. Process Improvement: Contribute to continuous improvement initiatives by identifying opportunities to enhance automation workflows, increase efficiency, and reduce errors in integration processes. Key Requirements Experience 2+ years of experience in integration and automation development with a strong focus on Workato. Proven experience building and maintaining integrations between enterprise systems like Salesforce, NetSuite, or similar platforms. Demonstrated experience working with cross-functional teams, including collaboration with Business Systems Analysts and QA Engineers. Technical Skills Expertise in using Workato for integration and automation solutions. Solid understanding of API integrations, RESTful services, and data formats such as JSON and XML. Proficiency in unit testing, debugging, and troubleshooting integration workflows. Experience using version control systems such as Git. Familiarity with other integration tools and platforms is a plus. Jira Experience Comfortable using Jira for task tracking, managing sprints, and collaborating with cross-functional teams. Communication & Problem-Solving Strong ability to communicate technical concepts to non-technical stakeholders clearly and effectively. Strong analytical and troubleshooting skills to resolve integration and automation challenges efficiently. Ability to create clear, concise, and well-organized technical documentation. Education & Nice to Have A degree in Computer Science, Information Technology, or a related field is preferred. Familiarity with Agile development methodologies and tools like Jira. Experience with cloud platforms such as AWS or GCP and their integration capabilities. Security and Compliance At Rapid7, we prioritize the security of our customers and employees. All team members are expected to uphold the highest standards of security and privacy, ensuring the protection of sensitive information and compliance with relevant regulations. Qualification : A degree in Computer Science, Information Technology or a related field is preferred

Lead Salesforce Engineer Location: Pune About Rapid7 Rapid7 is a publicly traded cybersecurity company headquartered in Boston, MA, with 17 offices around the world. As we expand our global footprint into India, we are excited to grow our internal Application Engineering team. As a Salesforce Engineer, you will work alongside a global team to deliver best-in-class Salesforce solutions that meet business needs and optimize user experiences. You will have hands-on experience with Sales Cloud, Service Cloud, Experience Cloud, and CPQ, and you ll be proficient in both declarative configurations and advanced Apex coding. This is a unique opportunity to be one of the first hires for Rapid7 in India as we support our growth strategy in a culture that encourages innovation and continuous learning. About the Role As a Salesforce Engineer, you will design, develop, and support Salesforce solutions on Sales and Service Clouds. Working closely with other Salesforce team members, application owners, IT departments, and business stakeholders, you will deliver solutions that meet both technical and business requirements. Key Responsibilities Salesforce Administration: Manage and configure Salesforce environments, including Sales Cloud, Service Cloud, and Experience Cloud. Oversee system health, user permissions, profiles, workflows, and security settings. Implement and maintain changes using declarative tools such as Process Builder, Flow, and Validation Rules. Apex Development: Write and maintain Apex classes, triggers, Visualforce pages, and Lightning Web Components (LWC). Collaborate with senior developers and architects to design scalable solutions. Troubleshoot, optimize, and debug Apex code to ensure performance and stability. Unit Testing: Develop and maintain unit tests for custom Apex code, ensuring test coverage aligns with Salesforce best practices. Conduct comprehensive testing of code changes and strive for zero defects while optimizing test performance. CPQ (Configure, Price, Quote): Configure and manage Salesforce CPQ features, including price books, quote templates, products, and pricing rules. Troubleshoot CPQ-related issues and provide support for streamlining the quoting process. Collaboration and Support: Work with business analysts and other team members to gather requirements and deliver solutions. Maintain comprehensive documentation for configurations, workflows, code, and other technical solutions. Release Management: Utilize Gearset for deployment and release management, ensuring smooth Salesforce code and configuration deployments across multiple environments. Plan, execute, and document deployment processes, ensuring error-free releases through automated validation and rollback strategies. Jira Integration and Task Management: Use Jira for task management, project tracking, and collaborating on development sprints. SOX Controls & Change Management: Adhere to SOX controls to ensure compliance with IT regulations and auditing standards. Follow change management policies and procedures for implementing configurations, scripts, and integrations, ensuring all changes are properly tested, documented, and approved. Skills and Qualifications Experience & Certifications 8+ years of hands-on experience with Salesforce Sales Cloud, Service Cloud, Experience Cloud, and CPQ. Salesforce Certifications (ADM 201, ADM 211, Platform Developer I and II) are highly desirable. Strong experience with Salesforce integrations, APIs, and external systems. Experience using Jira for task and project management in an Agile environment. Hands-on experience with Gearset for deployment and release management in Salesforce. Technical Skills Expertise in Apex, Visualforce, Lightning Web Components (LWC), SOQL, and SOSL. Strong knowledge of Salesforce CPQ features and pricing rule configuration. Ability to write efficient, scalable unit tests for custom Apex code. Familiarity with Git and version control practices. Soft Skills & Attributes Strong analytical and problem-solving skills. Excellent communication skills, with the ability to work remotely with a global team. Detail-oriented with the ability to manage multiple tasks concurrently. Preferred Qualifications Experience working with global teams, especially in an Agile framework. Knowledge of Salesforce integrations (e.g., REST, SOAP APIs) and third-party tool integrations. Experience with Salesforce Data Loader, Change Sets, and Salesforce DX. Security and Compliance At Rapid7, we prioritize security and privacy. All employees are expected to adhere to the highest standards of security, ensuring the protection of sensitive information and compliance with applicable regulations.

Technical Project Manager-II Location: Pune Employment Type: Full-Time About Calfus At Calfus, we deliver innovative AI agents and enterprise solutions that transform businesses in unimaginable ways. Our software engineering and ERP teams empower startups and enterprises to harness AI s full potential, automate complex workflows, and drive revenue growth. We pride ourselves on a culture of innovation, speed, and collaboration. As one of the fastest-growing companies in the AI space, we seek talented professionals who are passionate, driven, and ready to make an impact. About the Role As a Technical Project Manager-II, you will lead the successful delivery of complex technical projects from conception through deployment. Your role includes managing cross-functional teams, defining project scopes, creating timelines, allocating resources, and ensuring projects meet customer requirements on time and within budget. You will bridge communication between technical teams and stakeholders, proactively resolving issues to keep projects on track. Key Responsibilities Lead end-to-end delivery of GenAI/LLM-based software solutions across diverse business functions. Understand customer needs, translate them into technical requirements, and negotiate priorities. Build and nurture a strong engineering culture focused on respect, empathy, and best practices. Collaborate with principal engineers across Calfus locations to develop best-in-class products. Manage project scope, timelines, resources, and risks to ensure timely delivery. Facilitate communication between stakeholders and technical teams. Support engineering teams by addressing challenges and helping unblock technical issues. Apply Agile, Scrum, or other development methodologies effectively. Utilize project management and development tools (Jira, Git, Jenkins, Docker, etc.). Leverage cloud technologies (AWS, Azure) and understand system architectures. What We Expect From You 6+ years of relevant project management experience, with 5+ years in technical or IT environments. Proven success managing complex, multi-team software projects, especially involving AI/ML or GenAI/LLM solutions. Strong programming knowledge in one or more: Node.js, Java, Python, React.js, Angular. Deep understanding of software development life cycles and methodologies (Agile, Scrum, Waterfall). Experience with cloud architectures and deployment pipelines (DevOps, CI/CD). Excellent communication skills to engage technical and non-technical stakeholders. Ability to drive decision-making based on data and insights. Proficient with project management tools like Jira, MS Project, Asana, etc. Bonus Skills Certifications such as PMP, ScrumMaster or equivalent. Hands-on experience with DevOps and continuous integration/deployment practices. Familiarity with data pipelines from ingestion to dashboards is a plus. Benefits Comprehensive medical, group, and parental insurance. Gratuity and provident fund contributions. Wellness programs and birthday leave. Inclusive, fast-paced culture that values innovation and diversity. Equal Opportunity Statement Calfus Inc. is committed to creating an inclusive workplace where everyone regardless of background, identity, or experience has the opportunity to thrive. We celebrate diversity and encourage all qualified candidates to apply.

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Job Title: Software Engineer Test II Location: Pune Company: TraceLink Experience: 3 4 Years Company Overview: At TraceLink, our mission is to protect patients by transforming the pharmaceutical supply chain through digital innovation. Our powerful Opus Platform and comprehensive suite of software solutions enable the industry to achieve greater compliance, visibility, and collaboration minimizing disruptions in medicine availability globally. Founded in 2009, TraceLink now operates across 8 global offices with 800+ employees, serving 1,300+ customers in over 60 countries. Recognized as an industry leader by Gartner, IDC, and for our company culture by Comparably, we continue to lead the way in life sciences supply chain innovation. Position Overview: We are seeking a skilled and detail-oriented Software Development Engineer in Test (SDET) to join our Pune-based team. As Software Engineer Test II, you will play a key role in developing and executing automated testing tools and frameworks, contributing to the quality and reliability of TraceLink s platform and applications. Key Responsibilities: Design, build, and maintain automation frameworks for functional, performance, and integration testing Execute automated and manual tests on the TraceLink platform and applications Build and extend tools for automated testing that simulate real-world transaction volumes (millions per day) Interface testing tools programmatically with TraceLink s platform and APIs Prepare clear, concise defect reports that aid quick reproduction and resolution Verify bug fixes and ensure test coverage for new features and defect resolutions Collaborate closely with development teams to incorporate testability into design and architecture Perform performance testing to identify bottlenecks and ensure system scalability Create testing tools usable by non-developers to promote broader adoption across QA Stay up-to-date on the latest testing technologies and best practices to improve test coverage and efficiency Provide high-level technical insights and contribute to continuous improvement of testing processes Respond to and handle support requests related to testing and test environments Qualifications: Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, or related field 3 4 years of experience in software testing and test automation Proficiency in Java, Eclipse, Ant or Maven, and Unix/Linux Strong experience with test automation frameworks like TestNG or Pytest Experience testing web-based applications, Web Services, and REST APIs Proven experience in creating and executing formal test plans, test data, and configurations Familiarity with performance testing and identifying performance bottlenecks Good understanding of data structures and algorithms (DSA) Lists, Maps, Sets Experience in ETL processes and SQL scripting Strong debugging and analytical skills Ability to work in fast-paced, collaborative environments Preferred/Bonus Skills: Experience with cloud platforms, especially AWS Familiarity with running and maintaining cloud-based enterprise applications Exposure to the pharmaceutical or life sciences industry If you re passionate about automation, quality, and building tools that scale with complex systems, TraceLink offers a collaborative environment where you can make a real impact on patient safety worldwide. Qualification : Bachelor's degree (or foreign equivalent) in Computer Science, Software Engineering, or related field

Job Title: Technical Support Engineer II Location: Pune Experience: 2 5 Years Company: TraceLink Department: Support and Service Company Overview: TraceLink s innovative software solutions and Opus Platform empower the pharmaceutical industry to digitize their supply chain, enhancing compliance, visibility, and decision-making. Our technology helps reduce disruptions in medicine supply, ensuring patients worldwide receive the treatments they need. Founded in 2009, TraceLink has expanded to 8 offices globally, with over 800 employees and more than 1,300 customers across 60+ countries. We are recognized as an industry leader by Gartner and IDC, and celebrated for our positive company culture by Comparably. Position Overview: As a Technical Support Engineer II, you will play a vital role within our Support and Service organization to ensure customer success and satisfaction. Your technical expertise and problem-solving skills will be key to helping customers implement and utilize TraceLink s Life Sciences Cloud solutions effectively. This role requires strong interpersonal skills combined with experience in web applications, UNIX systems, scripting, and troubleshooting complex technical issues. Key Responsibilities: Engage directly with customers and internal teams to understand, document, troubleshoot, and resolve technical issues efficiently Develop and improve standard troubleshooting procedures and tools for recurring issues Collaborate closely with Product Management, Engineering, and Quality Assurance teams to facilitate timely resolution of customer-reported problems Provide excellent customer communication and ensure timely updates on issue status Skills and Qualifications: Proven experience supporting proprietary, enterprise-level software applications Strong customer-oriented communication skills with a professional, friendly attitude Excellent verbal and written communication abilities Strong analytical mindset with great attention to detail Proficiency with UNIX command line, especially in parsing and analyzing data sets Bachelor s degree in Computer Science, Information Technology, or a related field 2 to 5 years of experience in a technical support or troubleshooting role Ability to read, parse, and manipulate technical data formats such as XML, EDI, CSV Working knowledge of B2B communication protocols like AS2, SFTP, and Web Services Experience with scripting languages (e.g., Perl, Python, Shell) is a plus Familiarity with supply chain software and pharmaceutical industry knowledge preferred Flexibility to work shifts across Americas, EMEA, and India/APAC time zones (daytime, evening, and overnight) Work with cutting-edge cloud technology impacting patient safety worldwide Collaborate with a global, high-performing team Opportunity for career growth in a fast-paced, innovative environment Support an industry leader with a commitment to employee growth and culture Qualification : Bachelors degree in Computer Science, Information Technology, or a related field

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Senior Azure Data Engineer Experience: 8 - 10 years Location: Kharadi, Pune Role & Responsibilities Design, develop, and maintain scalable, high-performance data pipelines using Azure Data Services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Build and optimize data models, ETL/ELT processes, and data integration workflows to support analytics and BI needs. Develop and manage data lakes, data warehouses, and real-time streaming solutions on Azure. Collaborate with data analysts, scientists, and software engineers to ensure smooth data integration and processing. Ensure data security, governance, and compliance following industry best practices and regulations. Monitor and troubleshoot data pipelines, focusing on performance and reliability enhancements. Automate data workflows and infrastructure using DevOps and CI/CD methodologies. Work closely with stakeholders to translate business requirements into robust data solutions. Required Skills & Qualifications 8-10 years of experience in data engineering, with at least 3 years focused on Azure data services. Strong expertise in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure SQL Database. Proficient in SQL, Python, or Scala for data processing and transformation. Experience with Big Data technologies like Spark, Delta Lake, and Parquet. Hands-on experience with ETL/ELT development and orchestration of data pipelines. Knowledge of Azure DevOps, CI/CD pipelines, and Infrastructure as Code tools (Terraform, ARM templates, Bicep). Familiarity with data governance, security best practices, and compliance frameworks. Experience with Power BI, Snowflake, or other BI/analytics tools is a plus.

Job Title: Senior AWS Data Engineer Experience: 5+ years Location: Kharadi, Pune Role & Responsibilities Design, develop, and optimize scalable data pipelines and ETL workflows using AWS services such as AWS Glue, Lambda, and Step Functions. Implement and maintain data lakes and data warehouses on AWS platforms including S3, Redshift, and Athena. Develop and manage both real-time and batch data processing solutions. Ensure data security, governance, and compliance following industry best practices. Collaborate with data scientists, analysts, and business stakeholders to deliver actionable, data-driven solutions. Optimize query performance and troubleshoot data issues proactively. Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Implement monitoring, logging, and alerting frameworks using AWS CloudWatch, Prometheus, or equivalent tools. Mentor junior engineers and actively contribute to data engineering best practices and standards. Required Skills & Qualifications 5+ years of experience in data engineering, with at least 3 years focused on AWS cloud services. Strong hands-on experience with AWS services including Glue, Redshift, S3, Lambda, EMR, and Athena. Proficient in SQL, Python, and Spark for data processing and analytics. Experience designing and implementing ETL/ELT pipelines. Familiarity with DevOps practices, CI/CD pipelines, and automation tools such as Terraform, CloudFormation, and Jenkins. Deep understanding of data governance, security protocols, and compliance frameworks. Experience with real-time data streaming and processing technologies such as Kafka, Kinesis, or similar tools. Knowledge of database optimization techniques including indexing and partitioning.

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni of IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world problems. Over the past 21 years, we've partnered with 180+ startups, primarily in the US, and have helped many achieve successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: What You ll Be Doing: As an ELT Developer, you will: Design, develop, and maintain ELT pipelines using GCP tools such as BigQuery, Dataflow, and Firestore. Optimize data pipelines for performance, scalability, and reliability. Transform raw data into structured formats that are ready for analytics and reporting. Integrate data from various sources into centralized repositories or operational systems. Collaborate with data engineers, analysts, and stakeholders to gather requirements and deliver solutions. Document ELT processes, workflows, and best practices. Monitor and manage ELT jobs to ensure timely data availability. Troubleshoot and resolve issues in data pipelines to maintain data integrity. To Succeed in This Role, You Should Have: Qualification: A Bachelor's degree in Computer Science, Information Technology, or a related field from a top-tier institute (IIT, NIT, BITS, etc.). Experience: At least 3 years of hands-on experience in ELT/ETL development on cloud platforms. Technical Skills: Expertise in GCP services like BigQuery, Firestore, Dataflow, and Pub/Sub. Proficiency in Python for scripting and automation. Strong understanding of data warehousing concepts and data modeling. Experience with SQL for data querying and transformation. Familiarity with NoSQL databases such as Firestore. Knowledge of Apache Beam for building scalable data processing pipelines. Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to collaborate effectively with cross-functional teams. Bonus Points If You: Have experience with GCP Cloud Scheduler or other orchestration tools. Hold a Google Professional Data Engineer certification or a similar qualification. Have worked with CI/CD pipelines for deploying ELT workflows. What You ll Find at Talentica: Innovative Culture: We specialize in cutting-edge development, not maintenance work. Our clients come to us for our technological expertise and innovation. Endless Learning Opportunities: You'll have ample opportunities to grow, learn, and stay up to date with the latest trends in technology. Talented Peers: Work alongside talented individuals from India s top engineering colleges (IITs, NITs, and others). Work-Life Balance: We understand the importance of work-life balance and offer flexible schedules and remote work options. Great Culture: 82% of our employees recommend Talentica to their friends (according to Glassdoor). Join us, and you'll see why! Recognition & Rewards: We celebrate success and ensure that your contributions are recognized and appreciated. If you're excited to work with a team of talented professionals and take your career to the next level, we d love to hear from you. Ready to take the next step? Fill out the form below, and we'll be in touch soon! About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni of IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world problems. Over the past 21 years, we've partnered with 180+ startups, primarily in the US, and have helped many achieve successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: What You ll Be Doing: As an ELT Developer, you will: Design, develop, and maintain ELT pipelines using GCP tools such as BigQuery, Dataflow, and Firestore. Optimize data pipelines for performance, scalability, and reliability. Transform raw data into structured formats that are ready for analytics and reporting. Integrate data from various sources into centralized repositories or operational systems. Collaborate with data engineers, analysts, and stakeholders to gather requirements and deliver solutions. Document ELT processes, workflows, and best practices. Monitor and manage ELT jobs to ensure timely data availability. Troubleshoot and resolve issues in data pipelines to maintain data integrity. To Succeed in This Role, You Should Have: Qualification: A Bachelor's degree in Computer Science, Information Technology, or a related field from a top-tier institute (IIT, NIT, BITS, etc.). Experience: At least 3 years of hands-on experience in ELT/ETL development on cloud platforms. Technical Skills: Expertise in GCP services like BigQuery, Firestore, Dataflow, and Pub/Sub. Proficiency in Python for scripting and automation. Strong understanding of data warehousing concepts and data modeling. Experience with SQL for data querying and transformation. Familiarity with NoSQL databases such as Firestore. Knowledge of Apache Beam for building scalable data processing pipelines. Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to collaborate effectively with cross-functional teams. Bonus Points If You: Have experience with GCP Cloud Scheduler or other orchestration tools. Hold a Google Professional Data Engineer certification or a similar qualification. Have worked with CI/CD pipelines for deploying ELT workflows. What You ll Find at Talentica: Innovative Culture: We specialize in cutting-edge development, not maintenance work. Our clients come to us for our technological expertise and innovation. Endless Learning Opportunities: You'll have ample opportunities to grow, learn, and stay up to date with the latest trends in technology. Talented Peers: Work along...

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world challenges. With over 21 years of experience, we've partnered with 180+ startups, primarily in the US, and contributed to numerous successful exits. In 2022, Talentica Software was recognized by Great Place to Work as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a DevOps SRE Manager to lead our cloud operations, with a primary focus on Google Cloud Platform (GCP) and secondary support for AWS. In this role, you will manage two critical teams: one DevOps team responsible for GCP infrastructure, and a CloudOps/SRE team ensuring 24/7 uptime for our mission-critical services. This position requires a blend of technical expertise, leadership skills, and customer relationship management. You ll be responsible for ensuring the reliability, scalability, and security of our infrastructure while overseeing smooth cloud operations. What You ll Be Doing: As a DevOps SRE Manager, your responsibilities will include: Managing GCP Operations: Oversee DevOps operations within Google Cloud Platform using tools like Terraform, Kubernetes (GKE), Prometheus, and Grafana. Infrastructure Automation: Ensure timely execution of tasks and optimize infrastructure automation to improve operational efficiency. CI/CD Enhancement: Drive improvements to CI/CD pipelines, enforce cloud security best practices, and enhance software delivery processes. System Reliability: Improve system reliability through advanced monitoring, logging, and alerting solutions. Cloud Optimization: Optimize cloud infrastructure for cost-effectiveness, scalability, and security, ensuring long-term operational efficiency. Leading CloudOps/SRE Teams: Manage a 24x7 CloudOps/SRE team focused on maintaining service uptime and providing prompt incident response. Incident Management: Lead incident management processes, including conducting Root Cause Analysis (RCA) and ensuring adherence to SLAs. Implement Observability Best Practices: Utilize Grafana, Prometheus, and Opsgenie to implement observability best practices. Promote Automation: Foster self-healing, automated infrastructure to reduce manual interventions and improve operational efficiency. Customer Relationship Management: Build and maintain strong customer relationships through transparent and clear communication. Mentorship and Leadership: Lead and mentor cross-functional teams of DevOps and CloudOps/SRE engineers, ensuring high productivity, continuous professional growth, and performance reviews. AWS Support: Provide basic-to-intermediate support for AWS services (IAM, EC2, S3, Lambda, CloudFormation) and assist in hybrid cloud integration when required. To Be Successful in This Role, You Should Have: Qualifications: BE/BTech from a reputable engineering institute. Experience: 8-12 years of experience in DevOps, CloudOps, or SRE roles. Technical Expertise: Primary Cloud Platform: Expertise in Google Cloud Platform (GCP). Secondary Cloud Platform: Experience with AWS. Infrastructure as Code (IaC): Strong experience with Terraform. Containerization & Orchestration: Hands-on experience with Kubernetes (GKE). CI/CD & Automation: Expertise in tools such as Jenkins, GitOps, and Ansible. Monitoring & Observability: Proficient in Prometheus, Grafana. Incident & Alerting: Familiarity with Opsgenie. Big Data & Streaming: Experience with Kafka, Airflow, Druid. AWS Services: Experience with IAM, EC2, S3, Lambda, CloudFormation, and CloudWatch. Additional Skills: Proven experience managing 24x7 operations and multi-cloud environments. Hands-on expertise with GCP infrastructure, Terraform, Kubernetes, and CI/CD pipelines. Experience with incident management, RCA, monitoring, and alerting. Strong understanding of reliability engineering, automation, and cloud security best practices. Bonus Points If You Have: Experience working with Kafka, Airflow, and Druid in large-scale environments. Certifications such as GCP Professional DevOps Engineer, AWS Solutions Architect, or Kubernetes. Working knowledge of AWS cloud services, especially in hybrid-cloud environments. What You ll Find Here: A Culture of Innovation: We focus exclusively on cutting-edge development. Our clients seek our expertise for innovative solutions, not maintenance work. Endless Learning Opportunities: Constantly expand your skills and stay on top of the latest trends and advancements in cloud technologies. Talented Peers: Work alongside top-tier engineers from India s best institutes (IITs, NITs, and others), fostering a collaborative and growth-oriented environment. Work-Life Balance: We value your well-being and offer flexible schedules and remote work options to help you maintain a healthy work-life balance. A Great Culture: 82% of our employees recommend Talentica to their peers (according to Glassdoor), which speaks to the positive work environment we ve built. Recognition & Rewards: We celebrate success and ensure that your contributions are recognized and appreciated. At Talentica, we invite you to take ownership of large-scale, impactful projects and work with cutting-edge technologies. If you re ready to make a real difference in shaping the future of our industry, we d love to have you join us. Qualification : BE/BTech from a reputable engineering institute.

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IITB. For over 21 years, we have been helping startups build products using cutting-edge technologies. With a focus on solving real-world problems, we ve worked with over 180+ startups, primarily in the US, leading to numerous successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a Data Engineer to join the product engineering team for a SAAS-based Subscription Management Platform. If you have a passion for working with data and a drive to innovate, we encourage you to apply. What You ll Be Doing: Data Transformation: Use Python and PySpark to transform large datasets and build efficient data pipelines. Pipeline Creation: Work with Kafka and Debezium to create and deploy real-time data pipelines. SQL Expertise: Write and optimize complex SQL queries for data aggregation and transformation. Delta Lake & Databricks: Utilize Delta Lake and Databricks for efficient data storage and management. Collaboration: Work with cross-functional teams to ensure data is accessible, reliable, and well-organized for product teams. To Be Successful in This Role, You Should Have: Qualification: BE/BTech from a top-tier engineering institute. Experience: 5+ years of experience in the data engineering field. Must-Have Skills: Strong proficiency in Python and PySpark for data transformation. Experience with Kafka and Debezium for data pipeline creation and deployment. Excellent SQL skills, especially for complex data aggregation and transformation. Familiarity with Delta Lake and Databricks. A solid understanding of all stages of the SDLC and experience with Agile/SCRUM methodology. Good-to-Have Skills: Understanding of machine learning algorithms. Familiarity with ETL tools like Matillion or Google Data Studio. Experience with creating BI reports using tools like Looker or Tableau. Familiarity with writing APIs to extract data from databases. What You ll Find Here: Culture of Innovation: We focus on technology expertise and innovation, not maintenance projects. Our customers come to us for cutting-edge solutions. Endless Learning Opportunities: Stay ahead of the curve by exploring new advancements in your field and applying them to build better, faster, and simpler products. Talented Peers: Work alongside experienced graduates from India's top 20 engineering colleges, including IITs, NITs, and other top-tier institutes. Flexibility: We value work-life balance and offer flexible schedules, including remote work options. Great Culture: 82% of our employees recommend Talentica to their friends, according to Glassdoor. You'll love being part of our team! At Talentica, we don t just follow trends we lead them. If you re looking for a dynamic, fast-paced environment with opportunities to innovate, grow, and shape the future of technology, Talentica is the place for you. Join us and make a real difference! Qualification : BE/BTech from a top-tier engineering institute.

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

Transform Healthcare with Data: Join Cencora as a Data Engineer II At Cencora, our team members are at the heart of everything we do. We are on a mission to create healthier futures, and every individual here plays a crucial role in fulfilling that purpose. We believe in making a difference at the intersection of healthcare, technology, and innovation. If you're ready to shape the future of health and help improve lives globally, Cencora is the place for you. We are looking for a Data Engineer II to join our dynamic team. This role is pivotal in delivering accurate and reliable data to support our Legal and Compliance departments, with a direct impact on driving data-driven decisions that improve operational efficiencies and support strategic business goals. What You ll Do: As a Data Engineer II, you will be responsible for transforming raw data into actionable insights and building solutions that enhance business operations. Your role will span across multiple platforms, using SQL, SAP BusinessObjects, and a variety of other tools, to ensure that our data remains accurate, accessible, and consistent. Enhance Analytics Solutions: Lead the design and implementation of enhancements to business analytics solutions that align with evolving business needs. You ll turn complex business challenges into accessible data access requirements. Data Mining & Analysis: Perform data mining on vast datasets to uncover growth opportunities in sales, margin, and market share. Analyze pricing activities, including discounts, allowances, programs, and contract pricing, to drive profitability. Data Quality Assurance: Validate, cleanse, and aggregate data, ensuring its accuracy and integrity. You ll identify and resolve data inaccuracies, improving the overall quality of enterprise data. Collaboration & Problem-Solving: Work cross-functionally with teams like Inside Sales, Finance, and Sourcing to develop performance forecasts, projections, and plans based on data assumptions and variables. Automated Solutions: Identify opportunities for automated solutions to enhance data quality and efficiency across the enterprise. Report Development: Collaborate with internal stakeholders to define reporting deliverables, ensuring that data is appropriately named, structured, and ready for decision-making. Data Integrity & Monitoring: Monitor and update data changes on a mass scale using tools, ensuring the highest level of data integrity is maintained. What You Bring to the Table: Experience: You have 4+ years of direct experience in healthcare data analytics or data engineering. You know your way around large datasets and understand how to unlock insights that drive business decisions. Technical Expertise: Proficient in SAP and BusinessObjects, with an extensive background in Business Intelligence and SQL. Strong understanding of the wholesale distribution process, including purchases, sales, payments, and supplier rebates. Knowledge of pharmaceutical wholesale processes and chargebacks to wholesalers is a plus. Familiar with data visualization tools like Power BI or Tableau. Analytical Mindset: You re a critical thinker with an eye for detail, always ready to dive into data to uncover trends, identify issues, and solve problems. Mentorship: You bring leadership experience, with a knack for mentoring and guiding team members. Communication Skills: Your ability to communicate complex data insights to non-technical stakeholders is top-notch. You can explain trends and patterns with clarity and confidence. Bonus Points: Familiarity with Microsoft Power BI, Tableau, or other data visualization tools. Experience with Big Data analysis tools and techniques. Background in data governance and data management. What You ll Get from Us: Meaningful Work: At Cencora, your work directly impacts the future of healthcare. Your expertise in data will help us make strategic, data-driven decisions that improve lives globally. Growth Opportunities: We invest in our team members' growth through mentorship, professional development, and the chance to shape the future of healthcare technology. Collaborative Environment: Work alongside innovative professionals in a culture that values diverse perspectives and fosters collaboration. Comprehensive Benefits: We offer a range of benefits designed to support you in every aspect of life health, wellness, work-life balance, and more. Join Cencora Today! If you re ready to leverage your data engineering expertise to drive meaningful change, we d love to hear from you! Apply now to become part of a purpose-driven company at the forefront of innovation in the healthcare sector. Cencora is committed to building a healthier future, and we want you on this journey with us.

Job Title: L2 Infrastructure Engineer Linux Patching (3 Positions) Location: Pune Shift: 24/7 About the Role: As an L2 Infrastructure Engineer Linux Patching, you will be responsible for coordinating, deploying, and troubleshooting patches for Linux servers in a large-scale enterprise environment. You will work with RedHat, SLES, CentOS, and Ubuntu, ensuring security compliance and best practices in vulnerability management. Key Responsibilities: Linux Patching & Vulnerability Management: Coordinate, deploy, and troubleshoot Linux patches for RedHat, SLES, CentOS, and Ubuntu servers. Apply vulnerability management best practices and prioritize patch deployments using CVE scoring. Utilize Ansible AWX for automation and configuration management of patching procedures. Provide insights for improving scanning processes based on vulnerability scanner data. Ensure minimal business disruption by coordinating patch deployments with cross-functional teams. Troubleshoot patching failures and provide technical guidance to fellow engineers. Automation & Infrastructure Support: Develop Python scripts for automating patch management processes. Support cloud infrastructure on the Azure platform. Manage and configure virtual servers in an enterprise environment. Work within an enterprise ticketing system (e.g., ServiceNow) to track incidents, requests, and changes. Process & Compliance: Ensure adherence to change management and ITIL best practices. Maintain detailed documentation of patching activities and procedures. Required Skills & Experience: Must-Have: 5-8 years of experience as a Linux Support Engineer or similar role. Expertise in Linux patching and troubleshooting vulnerabilities. Hands-on experience with Ansible AWX, Ansible, Chef, or Puppet for automation. Knowledge of CVE scoring and vulnerability management best practices. Strong understanding of RedHat, SLES, CentOS, and Ubuntu operating systems. Experience managing cloud infrastructure on Azure. Excellent communication skills and ability to handle multiple tasks efficiently. Good-to-Have: Experience with Python scripting for automation. Familiarity with ServiceNow or similar enterprise ticketing systems. Relevant Linux administration certifications (e.g., RHCSA, RHCE, LPIC). At our organization, we value innovation, collaboration, and technical excellence. We offer: A challenging and dynamic environment with opportunities to work on enterprise-scale infrastructure. Exposure to cutting-edge automation and cloud technologies. A supportive team and culture that promotes continuous learning and professional growth. Apply Now if you're a skilled Linux Engineer passionate about automation, security, and enterprise infrastructure!

Job Overview Senior Engineer - Data Analytics in the Manufacturing domain with 3-7 years of experience. Lead data analytics projects focusing on aerospace reliability and warranty analysis. Develop solutions using Python and Power BI, creating insightful dashboards. Analyze warranty and aftermarket data for valuable insights. Collaborate across teams to address challenges. Streamline data processes using VBA and MS Excel. Drive reliability analysis initiatives for product performance. Communicate findings effectively and mentor junior team members. Demonstrate strong project management and leadership skills. Preferred: Experience in After-market data analysis, strong communication skills, proficiency in VB.Net. Education: Bachelor of Technology or Bachelor of Engineering in Computer Science coupled with an MBA in Business Analytics or Data Science. Preferred certifications: Microsoft Certified: Data Analyst Associate and Certified Reliability Engineer (CRE). Roles & Responsibilities Lead and oversee data analytics projects with a focus on reliability and warranty analysis in the aerospace industry. Utilize Python and Power BI to develop advanced data analytics solutions and create insightful Power BI dashboards for stakeholders. Conduct in-depth analysis of warranty data and aftermarket performance to provide valuable insights and recommendations. Collaborate with cross-functional teams to understand and address the unique challenges of the aerospace aftermarket business. Apply expertise in VBA and MS Excel to streamline data processes and enhance data visualization. Drive reliability analysis initiatives to ensure product performance and customer satisfaction. Communicate findings effectively through reports and presentations. Mentor junior team members and contribute to their professional development. Demonstrate strong leadership skills in project management and team coordination. Maintain a high level of professionalism and uphold ethical standards in data analysis and reporting. Our ideal candidate Extensive experience in Python, Power BI, Warranty Analysis, Aerospace V&V (Verification and Validation) processes, and Reliability Analysis 3-7 years of experience with advanced proficiency in Python for developing data analysis scripts and automation tools Expertise in Power BI for creating interactive visualizations and dashboards In-depth knowledge of Warranty Analysis and Reliability Analysis methodologies Ability to apply VBA and MS Excel for data manipulation and analysis Education: Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, coupled with a Master of Business Administration (MBA) in Business Analytics or Data Science Certification: Microsoft Certified: Data Analyst Associate and Certified Reliability Engineer (CRE) preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, coupled with a Master of Business Administration (MBA) in Business Analytics or Data Science