Analytics Engineer Jobs in Pune

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

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Position: Senior / Lead Java Developer Location: Pune Work Type: Full Time Minimum Experience: 6 8 Years Top Skills: Core Java, Spring Boot, Cloud-Native Microservices About the Role At Cognologix, we empower data-driven enterprises to harness the full potential of their data. From scalable analytics to machine learning platforms, we help clients navigate their digital transformation journeys. As a Senior/Lead Java Developer, you will work with modern cloud-native technologies to build distributed systems that process terabytes of data efficiently and intelligently. Key Responsibilities Collaborate with Data Scientists, Engineers, and Product Managers to transform complex data into actionable insights. Design and develop high-performance, low-latency Java-based microservices. Own the end-to-end architecture, implementation, and maintenance of backend systems. Design and implement REST APIs and contribute to living documentation and test specifications. Write clean, scalable, and testable code following best development practices. Build and maintain data pipelines using Apache Spark, Google Data Pipelines, or similar tools. Mentor junior developers and actively contribute to team growth and knowledge sharing. Continuously optimize and enhance the software development lifecycle. What You Bring (Must-Have Skills) 5+ years of hands-on experience building scalable cloud-native applications. Proficient in Java, Spring, Spring Boot, and Spring Security frameworks. Experience with Groovy, SQL, or NoSQL databases. Familiarity with distributed event-driven architectures using Kafka, GCP Pub/Sub, etc. Solid understanding of RESTful API design principles and performance optimization. Experience in working with Google Cloud Platform (GCP) and BigQuery is a plus. Nice to Have (Preferred Skills) Exposure to containerized environments and tools such as Docker, Istio, and Kubernetes. Experience with big data technologies like Apache Spark, Flink, or similar platforms. Understanding of CI/CD pipelines, DevOps practices, and cloud infrastructure automation. Full-stack development experience or a willingness to contribute beyond backend responsibilities. High autonomy, fast-paced environment, and flat hierarchy Work on emerging technologies and solve meaningful problems at scale Remote work options available for experienced professionals Competitive compensation and family-friendly benefits Clear path for performance-based career growth About Cognologix Cognologix helps companies disrupt and innovate by reimagining their business models. We specialize in building modern, scalable, cloud-native products with a focus on data engineering, analytics, and automation. Our agile teams deliver high-quality, tech-driven outcomes across industries and geographies.

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: Project Engineer MEP Costing Location: Pune Job Type: Full-Time Company: vConstruct (a DPR Construction Company) About vConstruct At vConstruct, we are redefining construction by building better, smarter, and faster. As a team of over 480 construction technology professionals, we partner globally to deliver services in Virtual Design & Construction (VDC), Project Controls, Cost Estimation, Data Analytics, and more. A subsidiary of DPR Construction, we support complex, large-scale projects across industries such as healthcare, life sciences, commercial, data centers, higher education, and advanced tech. On any given day, our work impacts 100+ construction projects worldwide. Role Overview We are seeking an experienced MEP Estimating Engineer to join our Costing Cluster as a Project Engineer MEP Costing. You will be responsible for reviewing project design documents (2D/3D), quantifying MEP scopes (HVAC, Plumbing, Electrical, Fire Protection, etc.), and developing detailed cost estimates for high-value global construction projects. This role requires a solid understanding of building systems, particularly MEP, and the ability to work with both local and international project teams. Key Responsibilities Prepare accurate quantity takeoffs and cost estimates using CSI Uniformat and MasterFormat coding standards. Review and interpret design drawings, specifications, RFIs, and BIM models to identify scope and discrepancies. Perform quantification across HVAC, plumbing, piping, fire protection, electrical, and low-voltage systems. Leverage 3D models (Revit, etc.) to enhance or directly extract quantity estimates. Build 3D models from 2D drawings when necessary to support estimation. Analyze design version changes and clearly communicate their cost impact. Collaborate closely with U.S.-based estimators to align on project deliverables and expectations. Proactively communicate via email and virtual meetings with global project teams. Understand and execute new workflows, platforms, and estimation processes; document and train others as needed. Support cross-functional construction estimating work beyond core MEP scopes. Requirements & Qualifications Bachelor s or Master s degree in Mechanical or Electrical Engineering (preferably with a specialization in Quantity Surveying). Minimum 2 years of experience in building construction, with a strong focus on MEP estimation. Knowledge of construction systems in sectors such as hospitals, commercial offices, data centers, manufacturing, or life sciences is preferred. Familiarity with US, European, or Indian construction documents and terminology. Working knowledge of quantification and estimation software such as Revit, Assemble, CostX, OST, or Planswift. Proficiency in Microsoft Excel and general data management for cost tracking. Strong analytical, communication, and collaboration skills. Proactive, self-driven, and capable of working independently with minimal supervision. Work on high-impact, cutting-edge global construction projects. Be part of a forward-thinking, inclusive, and collaborative team culture. Opportunity to grow with an industry leader in construction technology and virtual design. Learn continuously through exposure to global best practices and cross-functional training. Our Core Values Integrity is Integral People are Pivotal Ever Forward Spirit If you re passionate about MEP systems, cost estimation, and driving innovation in construction, we d love to hear from you. Qualification : Bachelors or Masters degree in Mechanical or Electrical Engineering (preferably with a specialization in Quantity Surveying)

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

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Job Title: Senior Staff Software Engineer (Foundation) Company: Druva Location: Pune, India About Druva: Druva empowers organizations with cyber, data, and operational resilience through the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Our platform simplifies data protection, streamlines governance, and provides unparalleled data visibility and insights, enabling customers to accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure and management costs by delivering data resilience through a single platform spanning multiple geographies and cloud environments. About the Role: The Foundation team at Druva designs and develops a highly scalable, petabyte-scale distributed cloud file system built on AWS. This service-oriented system handles critical features such as file system metadata management, versioning, and eventual consistency using AWS services like S3, DynamoDB, and Kinesis. Beyond the core file storage engine which supports backup storage for all Druva products the team builds and maintains allied components like indexing engines, key-value stores, and big data pipelines to enable scalable search, analytics, and compliance capabilities. As a Senior Staff Software Engineer, you will collaborate closely with cross-functional teams, architects, and DevOps to define high-level and low-level designs (HLD/LLD) for advanced data security and management services. You will stay abreast of emerging trends in data security, platforms, technologies, and APIs, applying these insights to enhance existing features and develop new capabilities. You will also mentor and guide junior engineers, fostering a culture of high-quality, high-velocity software development. Key Skills & Experience: 5 to 7 years of experience building enterprise-grade software products. Expertise in designing and implementing SaaS solutions at scale. Proficiency in Python or Golang for software development. Deep knowledge and hands-on experience with cloud storage and data management systems. Proven experience building storage systems focused on securing and protecting data at scale, including managing data and metadata. Prior experience working on data protection products is highly desirable. Familiarity with cloud platforms such as AWS and Azure is a plus. Strong hands-on developer with excellent communication and collaboration skills. Ability to influence architecture, design, and implementation for timely delivery of business outcomes. Desirable: Strong written and verbal communication skills. Experience with Agile methodologies (Scrum). In-depth knowledge of AWS cloud technologies. Responsibilities: Collaborate with architects, developers, and DevOps to define HLD and LLD for data security and management services and features. Monitor and evaluate emerging trends in data security, management platforms, technologies, and APIs to refine and develop features. Lead the integration of data management tools and applications to enhance product quality and user experience. Promote best practices and principles of high-quality SaaS software development. Mentor and train junior engineers on data management, security principles, and agile development methodologies. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (Advanced degree preferred). Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field (Advanced degree preferred).

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 specialized software development firm founded by industry veterans and IIT Bombay alumni. We excel in helping startups build innovative products by leveraging cutting-edge tools and technologies to solve real-world challenges. Over the past 21 years, we ve collaborated with over 180 startups, primarily in the US, and have 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 meticulous and detail-oriented QA Specialist who is passionate about ensuring data quality. You will work closely with our analytics team to design and execute robust QA processes, validate data pipelines, and automate repetitive QA tasks. Your contributions will play a crucial role in delivering accurate, reliable, and high-quality solutions. If you enjoy solving problems, automating processes, and ensuring data integrity, this role is tailor-made for you! What You ll Be Doing: As a QA Specialist, your responsibilities will include: Designing and implementing comprehensive QA processes for data and analytics deliverables. Validating end-to-end data pipelines, including data sources, ETL processes, data extracts, calculations, visualizations, and application interfaces. Conducting functional, regression, performance, and tolerance-range testing across reports and data systems. Simulating end-user interactions to ensure a smooth user experience with analytics outputs. Validating application tracking functionalities, including data collection through app usage. Verifying calculations and metrics in BI tools like Tableau, Power BI, and others. Performing database validation using SQL (Oracle, BigQuery) and NoSQL (MongoDB) systems. Automating recurring QA tasks in the analytics/BI environment where possible. Identifying, documenting, and tracking data quality issues and discrepancies. Collaborating with cross-functional teams including data engineers, BI developers, and product managers to ensure high-quality analytics deliverables. To Succeed in This Role, You Should Have: Qualifications: BE/B.Tech degree from top engineering institutions such as IIT, NIT, BITS, VJTI, or equivalent. Experience: 2+ years of experience in QA, data validation, or analytics testing. Technical Skills: Hands-on experience testing in BI tools environments. Proficiency in SQL, with experience in Oracle and BigQuery (preferred). Familiarity with NoSQL databases like MongoDB (a plus). Experience with regression testing and simulating user interactions in BI tools. Bonus Points If You Have: Knowledge of scripting languages like R or Python. Experience in automation testing in analytics or BI environments. Familiarity with Databricks. Soft Skills: Strong communication skills, with the ability to collaborate effectively across teams. Ability to present complex findings to both technical and non-technical stakeholders. What You ll Find at Talentica: Innovative Culture: We focus exclusively on cutting-edge development, not routine maintenance. Our technological expertise sets us apart. Endless Learning Opportunities: This is a place to grow. You ll have access to constant learning opportunities and stay updated on the latest trends in technology. Talented Peers: Work with brilliant professionals from India s top engineering colleges (IITs, NITs, and more). Work-Life Balance: We value flexibility and offer remote work options and flexible schedules to ensure a healthy work-life balance. Great Culture: 82% of our employees recommend Talentica to their peers (according to Glassdoor). We pride ourselves on our supportive and collaborative work environment. Recognition & Rewards: We celebrate success and ensure that your contributions are recognized and appreciated. If you re passionate about ensuring data integrity, automating processes, and solving problems in a fast-paced, innovative environment, we d love to hear from you. Qualification : BE/B.Tech from IIT, NIT, BITS, VJTI, or any other top Indian engineering college.

Data Engineer - Media & Advertising Sector - Job Description We are looking for an experienced Data Engineer to join our team and drive business outcomes in the media and advertising sector. In this role, you will leverage advanced data technologies to design and implement comprehensive data strategies that focus on scalability, performance optimization, and secure data management. Successful candidates will have hands-on experience with Big Data technologies and machine learning models, as well as a deep understanding of the advertising domain and its data needs. Technical and Professional Requirements: Big Data Technologies: Proficiency with platforms such as BigQuery, Big Data, Hadoop, and Snowflake for managing and processing large-scale datasets. Programming/Scripting Languages: Strong experience in programming languages like Python, Java, or Go for developing data solutions. Machine Learning Models: Hands-on experience defining and implementing various Machine Learning models to address diverse business requirements. Data Scalability & Performance: Practical experience in handling performance and data scalability challenges to ensure efficient data processing and storage. Advertising Domain Knowledge: Familiarity with advertising data and experience working with datasets such as Campaign Performance, Ad Performance, Attribution, and Audience Data. Job Responsibilities: Data Strategy Design: Develop a comprehensive data strategy that aligns with business objectives. This includes designing data models, establishing database development standards, and managing data warehouses and data analytics systems. Data Source Identification: Identify internal and external data sources and create a plan for managing these data sources according to the overall business data strategy. Cross-Functional Collaboration: Work with various teams (engineering, product, analytics, etc.) to ensure the smooth functioning of the enterprise data system, facilitating cross-departmental cooperation. End-to-End Data Architecture: Manage the end-to-end data architecture process, from selecting the platform and designing technical architecture to developing applications, and finally testing and implementing the solution. Big Data Solution Planning: Plan and execute big data solutions using technologies like BigQuery, Big Data, Hadoop, and Snowflake. Data Accessibility & Security: Integrate technical functionality that ensures data accessibility, accuracy, and security throughout the data lifecycle. Educational Requirements: Any Graduate with 60% and above in your academic background. This position is ideal for someone who is passionate about data engineering and eager to tackle complex challenges in the media and advertising sector. If you're looking to drive innovation, work with cutting-edge technologies, and collaborate across teams, we would love to hear from you! Qualification : Any Graduate with 60% and above in your academic background.

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.

Tech Lead Data Overview: As a Tech Lead Data, you will provide technical leadership to a team of experts, helping implement information-driven strategies and systems that support agricultural scientists in developing solutions for growers. You will manage end-to-end implementation of data environments beyond architectural design, ensuring that real-life data systems are developed and executed efficiently. You are a highly motivated problem solver with the ability to prioritize shifting workloads in a dynamic environment. You are an effective communicator and a confident leader passionate about making things happen within a fast-paced organization. Key Responsibilities: Lead the development of data and analytics capabilities within the R&D node of the enterprise data mesh, implementing architectural blueprints for various data platforms. Develop and implement an organizational data strategy aligned with business processes, including data model design, database development standards, and management of data warehouses and analytics systems. Identify and manage both internal and external data sources, creating a data management plan aligned with the organizational strategy. Collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth functioning of the enterprise data ecosystem. Guide the technical direction of data projects and initiatives, ensuring best practices in data engineering and analytics. Integrate technical functionality to ensure data accessibility, accuracy, and security. Perform continuous audits of data management systems and address performance issues, reporting breaches or vulnerabilities to stakeholders. Experience & Skills Required: 9+ years of experience in Big Data, data warehousing, data analytics, and/or Information Management projects. Proven experience building large-scale enterprise data architectures using both commercial and open-source Data Analytics technologies. Strong data modeling and architecture skills, including expertise in data warehousing, data normalization, and dimensional modeling (e.g., OLAP, data vault). Understanding of predictive modeling, Natural Language Processing (NLP), text analysis, and Machine Learning. Knowledge of security integration, including Kerberos authentication, SAML, data security, privacy techniques like data masking, and tokenization. Experience with DevOps engineering and Continuous Integration/Delivery tools. In-depth understanding of AWS Cloud solutions and integrating into legacy systems and COTS solutions. Familiarity with the following tools: Data Ingestion: Snaplogic, Glue, Lambda Storage: S3 Processing: Databricks DWH: Redshift, Databricks SQL Warehouse Databases: RDS Languages: Python (pyspark), SQL (sparksql), Java, R BI Tools: PowerBI, Dash, Spotfire, Qlik Catalog: Glue catalog, Unity Catalog Streaming: Kafka, EventHub AI/ML: MLOps, SageMaker Storage/Dataframe: S3, Deltalake, Iceberg, Parquet Qualifications: University bachelor s degree in Science, Technology, Engineering, or Mathematics (STEM). Fluency in English. Strong customer focus with excellent communication, teamwork, and negotiation skills. In-depth technical experience, ideally with AWS certification. Experience implementing data-first solutions. Experiences to be Gained: Continuous upskilling in the latest technologies, tools, and design practices. Exposure to R&D operations. Development of leadership and relationship-building skills with internal customers. Company Description: Syngenta Group is one of the world s leading sustainable agriculture innovation companies, with over 53,000 people in more than 100 countries. We strive to transform agriculture through tailor-made solutions for farmers, society, and the planet. We are committed to maintaining high standards of ethics, integrity, and creating an inclusive, discrimination-free workplace. Additional Information: Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status. Qualification : University bachelors degree in Science, Technology, Engineering, or Mathematics (STEM).

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients. Job Responsibilities Understanding & working experience towards patient analytics like patient journey, persistency, adherence, patient identification etc. Experience using various patient level data like APLD, EHR, patient registries etc. Can work across a variety of projects from advanced analytics, ad-hoc analysis and reporting. Strong in logical reasoning, structuring of analysis, asking the right questions and logical approach to analyse data, problems, and situations. Proficient in Microsoft Office suite. Teamwork and collaboration and can mentor junior associates. Articulate in communication written or verbal and able to convey ideas and information clearly to client or client facing teams. Willingness to learn and innovate. Experience in pharmaceutical sales and marketing analytics would be preferred. Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation. Effectively communicate with onshore/ client (as per business needs). Education Bachelor of Engineering in Others Bachelor Equivalent - Engineering Work Experience Overall 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills. Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc using various data sources. Strong communication, project management, and storyboarding skills. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Experience in Pharma commercial analytics experience will be preferred. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Job Title: Senior Software Engineer Tietoevry Banking Location: Pune, India Education: Bachelor s or Master s degree in Computer Science, Information Technology, or related fields About Tietoevry Banking Tietoevry Banking is a leading technology partner for financial services, providing innovative solutions that drive digital transformation across the banking industry. We empower financial institutions with robust software platforms, advanced analytics, and agile development capabilities to enhance operational efficiency and deliver superior customer experiences. Role Overview We are seeking a Senior Software Engineer with strong expertise in C++ and Python, to join our dynamic team in Pune. In this role, you will be responsible for designing, developing, enhancing, and maintaining banking applications. You will collaborate closely with cross-functional teams to troubleshoot issues, implement new features, and ensure seamless functionality of our products. Key Responsibilities Design, develop, and maintain banking applications using C++, Python, and other relevant technologies. Analyze business and technical requirements to deliver high-quality solutions aligned with product and project goals. Work on enhancements, customizations, and bug fixes as part of the product lifecycle. Ensure adherence to best coding practices, code quality standards, and software development processes. Collaborate with global teams and stakeholders for solution discussions, technical feasibility assessments, and requirement clarifications. Identify bottlenecks, debug complex issues, and implement effective resolutions. Conduct code reviews, mentor junior team members, and actively contribute to team discussions. Required Skills & Experience Proficiency in C++ and Python development. Strong understanding of Standard Template Library (STL) and standard C++ libraries. Hands-on experience with Linux commands, SQL, XML, and Git. Familiarity with agile development methodologies and the software development lifecycle. Strong debugging, analytical, and problem-solving skills. Excellent communication and collaboration abilities to work effectively within global teams. Exposure to Java, JavaScript, or other relevant programming languages is a plus. Preferred Qualifications Prior experience working in banking or financial services domains is advantageous. Experience with cloud technologies, microservices, or containerized deployments is a plus. Opportunity to work on cutting-edge solutions for the banking industry. Exposure to global projects and collaboration with international teams. Professional development through learning opportunities and certification programs. A supportive and inclusive culture that fosters innovation and creativity. Flexible working arrangements and a healthy work-life balance. Diversity & Inclusion Commitment At Tietoevry, we believe in diversity, equity, and inclusion as drivers of innovation and creativity. We encourage applicants of all backgrounds, genders (m/f/d), and life experiences to join us, as we believe in fostering an inclusive workplace where everyone feels valued and empowered to contribute. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related fields

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