Cloud Data Platforms Jobs in Pune

Job Title: Engineering Manager Order Management System (OMS) Location: Pune Role Overview: As the Engineering Manager Order Management System (OMS), you will be responsible for leading the design, development, and continuous evolution of a large-scale, distributed eCommerce platform. This platform processes high transaction volumes and integrates with complex third-party systems. You will manage a full-stack engineering team, ensuring system scalability, performance, and resilience while fostering a culture of ownership, technical excellence, and collaboration. Key Responsibilities: Own the full product lifecycle: Lead the conceptualization, architecture, design, implementation, deployment, and maintenance of the OMS and its integrations. Lead and mentor a team of 10+ engineers, guiding them through technical challenges and driving both backend and frontend development efforts to successful delivery. Architect scalable, distributed systems that handle high volumes of orders, inventory updates, and third-party data exchanges across the platform. Drive eCommerce integration strategy, collaborating with various systems including marketplaces, ERPs, WMS, payment gateways, and 3PLs to ensure robust data synchronization. Take technical ownership of both backend and frontend components, from database schema and API design to UI architecture and performance optimization. Establish and enforce engineering best practices, including coding standards, CI/CD workflows, observability, and security compliance, to ensure consistency and quality across the team. Be **hands-on** when necessary actively contributing to code, reviewing critical modules, and troubleshooting complex production issues. Ensure high availability, scalability, and data integrity in every design decision, embedding performance and security into the development lifecycle. Collaborate cross-functionally with Product, QA, DevOps, and Customer Success teams to ensure alignment between technical delivery and business priorities. Recruit and develop talent within the team, conducting technical interviews and nurturing a strong engineering culture. What You ll Bring: 12+ years of software engineering experience, with at least 4 5 years of hands-on experience in Ruby on Rails (RoR) backend development. Proven success in building and scaling distributed, event-driven systems that can handle high transaction volumes and complex integrations. Strong Angular expertise: Experience leading teams to deliver rich, responsive web applications. Deep knowledge of eCommerce and OMS domain concepts, including order lifecycle, inventory management, shipments, returns, and third-party partner integrations. Expertise in PostgreSQL/MySQL: Proficiency in schema design, query optimization, and performance tuning. Familiarity with RESTful APIs, webhooks, and common integration patterns for external systems. Experience working with cloud platforms (preferably AWS) and managing CI/CD pipelines for continuous deployment and delivery. Proven experience as an Engineering Manager or Technical Lead, with a track record of mentoring engineers and managing delivery across multiple engineering modules. A passion for building reliable, secure, and performant systems that deliver measurable business impact and enhance the customer experience. Excellent communication, organizational, and problem-solving skills, with the ability to effectively manage complex technical challenges. A strong sense of ownership, self-motivation, and a growth-oriented mindset, always striving to improve processes and systems. Nice to Have: Experience with microservices, asynchronous job processing, or message queues (e.g., Sidekiq, Resque, RabbitMQ). Exposure to SaaS or multi-tenant architectures. Familiarity with containerization (e.g., Docker) and monitoring tools (e.g., Grafana, ELK, Prometheus). Understanding of API versioning, rate limiting, and data consistency patterns in large-scale distributed systems. Innovative Environment: Work on a high-impact eCommerce platform that powers complex integrations and supports millions of transactions globally. Leadership Opportunity: Lead and mentor a talented team of engineers while driving technical strategy and best practices. Career Growth: Be part of a rapidly growing company with opportunities to develop both technically and professionally in a collaborative, dynamic environment. Impactful Work: Your work will directly impact the success of a highly scalable, high-performance platform that serves leading global businesses. If you are an experienced engineering leader with a passion for building scalable and resilient systems in the eCommerce domain, we would love to hear from you!

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: 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

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

Senior ETL Engineer Location: Pune Role Overview: We are seeking a Senior ETL Engineer to design, develop, and optimize our end-to-end data infrastructure, including ETL pipelines, data lakes, and data warehouses. This role is instrumental in enabling reliable, scalable, and high-performance data operations while aligning with data governance best practices. You will be an integral part of a collaborative data team, working closely with Data Engineers, Architects, Analysts, Scientists, and other stakeholders to modernize and migrate our data systems to the cloud. Key Responsibilities: Convert SSIS stored procedures into Matillion mappings, and develop associated job schedules and audit frameworks. Design, build, and maintain efficient ETL pipelines to extract, transform, and load data from multiple sources into the data lake and data warehouse. Implement both full and incremental loads using SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) methodologies for real-time and batch data processing. Develop and maintain robust error handling, job monitoring, and job audit mechanisms. Conduct data profiling, data cleansing, and root cause analysis to resolve data inconsistencies and improve data quality. Optimize data pipelines for performance, scalability, and data quality, using benchmarking and tuning techniques. Build dashboards or reports for ETL job monitoring, performance tracking, and system health checks. Support data governance practices, ensuring accuracy, availability, and security of production data. Contribute to cloud migration initiatives, transitioning data workloads from on-premise systems to modern cloud data platforms. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as an ETL Engineer, Data Engineer, or in a similar data engineering role. Experience with cloud-based data platforms such as AWS, Azure, or GCP. Proficiency with data warehousing technologies like Snowflake, Redshift, Azure Synapse, or Databricks. Hands-on experience with ETL tools such as Matillion, SSIS, Informatica, AWS Glue, Azure Data Factory, StreamSets, STRiim, Oracle ODI, Coalesce, or Talend. Solid understanding of data modeling principles (E/R and Dimensional Modeling) and tools like ER/Studio or ERwin. Proficiency with SQL and programming/scripting languages such as Python, Scala, or Java. Experience with database tools such as Microsoft SSMS or Oracle Developer. Strong analytical, problem-solving, and data troubleshooting skills. Excellent communication and collaboration abilities. Ability to work efficiently in a fast-paced, agile, and dynamic environment. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field.

Tableau Architect Location: Pune Role Overview: We are looking for an experienced Tableau Architect to lead the design, development, and optimization of scalable data visualization solutions. The ideal candidate will bring deep expertise in Tableau, strong data architecture skills, and a passion for mentoring and guiding teams. You will play a pivotal role in delivering impactful analytics and ensuring best practices are followed across the organization. Key Responsibilities: Lead and mentor junior Tableau developers and analysts in Pune, fostering skill development and enforcing adherence to data visualization best practices. Architect, design, and implement scalable, high-performing Tableau dashboards and data models to support business analytics needs. Optimize Tableau environments to ensure efficient performance with large datasets and complex visualizations. Guide and support data integration efforts from diverse data sources into Tableau, ensuring data consistency and reliability. Conduct training sessions, hands-on workshops, and provide one-on-one mentorship to upskill team members. Collaborate with cross-functional teams including data engineers, business analysts, and IT to align on data and reporting requirements. Troubleshoot and resolve technical issues related to Tableau workbooks, data connections, and server performance. Create and maintain clear, user-friendly documentation for internal and external stakeholders, including architecture diagrams, user guides, and training materials. Technical Skills: Advanced proficiency in Tableau Desktop, Tableau Prep, and Tableau Server. Strong background in data modeling, ETL processes, and data architecture. Expertise in SQL and experience working with relational databases (e.g., SQL Server, Oracle). Hands-on experience in data integration from multiple sources and ensuring data quality. Proven ability to optimize dashboard performance for speed and responsiveness with large-scale datasets. Familiarity with cloud platforms such as AWS or Azure for data storage and analytics. Soft Skills & Additional Requirements: Experience in training and mentoring junior analysts, with a focus on building local talent in Pune. Excellent communication skills, especially when working with distributed and cross-functional teams. Strong problem-solving abilities to diagnose data and performance issues effectively. Commitment to producing high-quality documentation and reusable templates.

Solution Architect Location: Pune Experience: 10+ Years Job Type: Full-Time Profile Summary A highly skilled and experienced Solution Architect with over a decade in the IT service industry, specializing in designing and delivering comprehensive technical solutions across diverse domains. Expert in leading complex projects and aligning technology with business goals, leveraging cutting-edge technologies such as AI, cloud computing, and software development. Proven success in collaborating with cross-functional teams to architect scalable, secure, and efficient solutions for clients across healthcare, finance, real estate, and e-commerce sectors. Key Expertise Solution Design & Architecture: Architecting end-to-end scalable, high-performance, and secure solutions aligned with business objectives. Software Development: Expertise in full-stack development with React (frontend) and Python Django (backend), delivering enterprise-grade applications. AI Integration: Implementing AI-driven solutions including Generative AI, machine learning, and predictive analytics to automate processes and enhance decision-making. Cloud Architecture: Designing and deploying cloud solutions on AWS, Azure, and Google Cloud, with deep experience in migration, infrastructure design, and DevOps. Data Management & Analytics: Leveraging data management platforms and real-time analytics for business intelligence and audience targeting. Security & Compliance: Ensuring data security and regulatory compliance (HIPAA, GDPR) in solution designs. Experience Highlights AI and Generative AI Solutions Led design and implementation of AI-powered models for content generation, predictive analytics, and real-time decision-making in healthcare and finance. Integrated AI functionalities into business applications to improve operational efficiency and user experience. Cloud Solutions Design Architected cloud infrastructures optimizing cost, security, and performance across AWS, Azure, and Google Cloud. Directed cloud migrations and implemented cloud-native services including serverless computing, container orchestration (Docker, Kubernetes), and CI/CD pipelines. Full-Stack Software Development Led teams building scalable web applications using React and Python Django. Designed microservices and REST APIs ensuring seamless integration and optimized security. Data Management & Analytics Delivered data management platforms for audience segmentation in AdTech and e-commerce. Developed real-time bidding and programmatic advertising systems integrating advanced analytics. Telemedicine & Healthcare Solutions Designed secure, compliant telemedicine platforms integrating EHR systems, ensuring HIPAA and GDPR adherence. Developed patient data management systems focusing on security and regulatory compliance. Technical Skills Languages: JavaScript, Python, HTML/CSS, SQL, TypeScript Frameworks: React, Node.js, Django, Flask AI/ML: TensorFlow, PyTorch, GPT models, Generative AI, Predictive Analytics Cloud Platforms: AWS, Azure, Google Cloud, Docker, Kubernetes Data Management: PostgreSQL, MySQL, MongoDB, Data Lakes, DMPs Security: SSL, Firewalls, IAM, Data Encryption, HIPAA, GDPR compliance DevOps: Jenkins, Git, Docker, Kubernetes, CI/CD Pipelines Soft Skills Strong leadership and collaboration with cross-functional teams. Strategic thinker balancing innovation with business objectives. Excellent client engagement and communication. Problem-solving under tight deadlines with innovative solutions. Certifications AWS Certified Solutions Architect Certified Kubernetes Administrator (CKA) Certified in Generative AI Applications Microsoft Certified: Azure Solutions Architect Expert

Job Title: Manager, Cloud Operations Company: Druva Location: Pune, Maharashtra, India About Druva: Druva is a global leader in data security solutions, empowering organizations to protect and recover their data from all threats. Our Druva Data Security Cloud is a fully managed SaaS platform providing air-gapped and immutable data protection across cloud, on-premises, and edge environments. By centralizing data protection, we strengthen traditional security approaches and enable faster incident response, effective cyber remediation, and robust data governance. Trusted by nearly 7,500 customers including 75 of the Fortune 500 Druva safeguards critical business data in an increasingly connected world. Learn more at druva.com and follow us on LinkedIn, X, and Facebook. Role Overview: As Manager of Cloud Operations, you will lead the team responsible for the stability, scalability, and performance of Druva s cloud infrastructure within our large-scale SaaS environment. This hands-on leadership role demands a deep technical background in AWS cloud operations combined with strong people management skills. You will drive operational excellence through automation, cost management, and rigorous adherence to security and compliance standards, ensuring our services remain highly available 24x7. Key Responsibilities: Team Leadership & Development: Lead, mentor, and support a team of cloud engineers to deliver high-quality results. Foster a collaborative environment and remove blockers to maximize team productivity. Manage hiring, coaching, and retention to build a high-performing team. Technical Strategy & Execution: Drive automation initiatives to minimize manual tasks, boost reliability, and optimize operational workflows. Enforce compliance with security policies and industry regulations. Collaborate closely with DevOps and SRE teams to continuously enhance infrastructure and processes. Champion cost-efficiency while maintaining top-tier system performance. System Reliability & Performance: Monitor and review system health regularly; identify and address any breaches in Service Level Objectives (SLOs). Ensure cloud infrastructure is secure, scalable, and highly available through proactive incident management. Lead incident response, root cause analysis, and post-mortems to improve service resilience. Cross-Functional Collaboration: Partner with engineering teams to ensure smooth deployment of SaaS services to production. Conduct cross-team meetings to communicate deployment quality and status with Release and Host Domain (RHD) owners. Cost of Goods Sold (COGS) Management: Maintain adherence to reservation posture and optimize cloud resource usage. Detect and report COGS anomalies using automated tools and internal alerts. Analyze unit cost trends and customer behavior to identify and address cost irregularities. Security & Compliance: Conduct regular compliance validations and audits. Work with security teams to plan and execute quarterly security roadmap initiatives. Respond promptly to critical security alerts and incidents. Qualifications: 8 10 years of experience in Cloud Operations with at least 2 years in a leadership role. Strong expertise in AWS cloud infrastructure management. Proven track record in driving automation and operational improvements. Deep understanding of system reliability engineering (SRE) and incident management. Experience with cost management and security compliance in cloud environments. Excellent communication and people management skills. If you re passionate about leading cloud operations teams and building secure, reliable SaaS infrastructure at scale, we d love to hear from you!

Job Title: Staff Software Development Engineer in Test (SDET) Company: Druva Location: Pune, India About Druva: Druva is the autonomous data security company that puts data protection on autopilot. Our 100% SaaS, fully managed platform safeguards and recovers data from all threats, ensuring availability, confidentiality, and integrity. Trusted by over 6,000 customers, including 65 of the Fortune 500, Druva delivers autonomous protection, rapid incident response, and guaranteed data recovery backed by our $10 million Data Resiliency Guarantee. As the security landscape evolves, Druva remains at the forefront, defending business-critical data in today s interconnected world. About the Cloud Platform Team: The Cloud Platform team is the backbone of Druva s SaaS operations. We design and build key features that serve both customer-facing products and internal stakeholders, playing a crucial role in scaling Druva s architecture. Our focus spans Druva Cloud Platform, Product-Led Growth (PLG), MSP Solutions, Ecosystem & Integrations, Licensing, Billing, and Revenue Systems. Together, we ensure Druva s platform is robust, scalable, and ready for the future. Role Overview: We are looking for a talented Staff SDET with 3-5 years of experience specializing in Python-Selenium automation. You will design and develop automation frameworks, create comprehensive test plans, and ensure the quality of Druva s web applications. The ideal candidate has a strong foundation in QA principles and hands-on experience in automation frameworks, along with a passion for delivering high-quality software. Key Skills & Experience: 3-5 years of experience in automation testing. Proficient with Python-Selenium, pytest, and Robot Framework. Familiarity with Unix/Linux environments, Docker, CI/CD pipelines, and version control systems like SVN/Git. Strong knowledge of automation testing principles, manual testing concepts, and various testing methodologies. Experience working with SQL databases such as MySQL, Oracle, PostgreSQL RDS. Ability to quickly analyze test failures and trace issues to product or automation code. Experience with test management tools such as X-Ray. Desirable: Exposure to AWS cloud ecosystem. Experience working within Agile frameworks such as Scrum, including story breakdown and story pointing. Responsibilities: Develop detailed test plans for medium to large-scale features. Design and enhance automation frameworks to support feature test automation. Maintain and extend existing automation suites, writing new test cases and fixing broken tests. Participate actively in test case and code reviews. Engage in bug triaging and track quality assurance metrics. Identify bottlenecks in QA processes and recommend improvements. Soft Skills: Excellent communication and teamwork abilities. Strong problem-solving skills with keen attention to detail. Ability to prioritize tasks and deliver results in a fast-paced environment. If you re passionate about quality engineering and eager to contribute to a cutting-edge cloud security platform, join us at Druva and help build the future of autonomous data protection.

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: Principal Engineer (Malware Research Scientist) Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and fidelity providing autonomous protection, rapid incident response, and assured data recovery. Trusted by over 6,000 customers including 65 of the Fortune 500, Druva protects business-critical data in today s evolving threat landscape. With a $10 million Data Resiliency Guarantee, Druva ensures robust defense against all cyber threats. Role Overview: As a Principal Engineer (Malware Research Scientist), you will lead the design and establishment of a cutting-edge malware analysis lab and manage a team of researchers focused on deep technical investigations. You will conduct hands-on research, especially on ransomware, to uncover threat behaviors and generate actionable intelligence. Your insights will directly influence product security features by providing malware artifacts and indicators of attacks (IOAs) to engineering and product teams, strengthening Druva s product security posture. Key Skills & Expertise: Proven background as an Enterprise Security Architect or equivalent. Expertise in threat modeling and risk mitigation at organizational and technical levels. Comprehensive understanding of cloud security (AWS, Azure, OCI), Linux, M365 application/API security, firewalls, IDS/IPS, sandboxing, threat intelligence, vulnerability assessment, SIEM, auditing, encryption, and data loss prevention. Relevant certifications such as OSCP, SANS, or equivalent security certifications are highly desirable. Strong communication skills with the ability to present complex technical topics clearly. Deep technical knowledge of malware behavior, cyber kill chain, incident response, forensic data collection, disaster recovery, and ransomware impact. Hands-on experience in these areas is preferred. Roles & Responsibilities: Technical Leadership & Research: Design, implement, and maintain a secure and scalable malware analysis lab. Perform in-depth analysis of malware samples with a focus on ransomware variants. Utilize reverse engineering, static, and dynamic analysis techniques to dissect malware behavior and tactics. Identify, document, and communicate Indicators of Compromise (IOCs), MITRE ATT&CK TTPs, and Indicators of Attack (IOAs). Analyze ransomware impacts on data, cloud infrastructure (AWS, Azure, GCP), and SaaS platforms (M365, Google Workspace). Develop innovative detection and mitigation strategies for advanced malware threats. Stay abreast of emerging threat trends through continuous research and threat intelligence gathering. Collaboration & Communication: Partner with Product Managers to align research with customer requirements and support development of security features. Work with marketing to translate research insights into technical content like whitepapers, blogs, and presentations. Translate technical findings into clear, actionable reports for technical and non-technical stakeholders. Collaborate with engineering and security teams to integrate threat intelligence into incident response and security operations. Present research outcomes and threat intelligence updates to internal teams and leadership. Qualifications: Bachelor s or Master s degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience). 10+ years of experience in malware analysis and threat research. Proven track record of leading and mentoring security research teams, including training interns and junior researchers. Deep expertise in malware analysis techniques such as reverse engineering, static analysis, dynamic analysis, and sandbox environments. Strong knowledge of ransomware variants and their operational impact on various infrastructures. Excellent verbal and and written communication skills. Ability to manage multiple projects, work independently, and prioritize tasks effectively. A passionate and proactive approach to staying ahead in the cybersecurity threat landscape. If you re ready to lead high-impact malware research and shape the future of cyber resilience, Druva offers a compelling opportunity to join a world-class team protecting data on a global scale. Qualification : Bachelors or Masters degree in Cybersecurity, Computer Science, or a related discipline (or equivalent experience).

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

Senior Software Engineer CPD (SME - Linux/Systems) Location: Pune, India About the Role & Team As a Senior Software Engineer in the Continuous Product Delivery (CPD) team, you will lead a small team and collaborate closely with core engineering, product, and support teams. Your focus will be ensuring long-term stability and enhancing the customer experience for Rubrik s data backup and management products. You will gain deep knowledge of Rubrik s distributed job framework, data lifecycle management, filesystem, and metadata store. The CPD team, working alongside Platform and Systems Engineering, is tasked with developing a secure, scalable, and high-performance software-defined platform to simplify the management of physical and virtual appliances both on-premises and in the cloud. Rubrik values engineers who take ownership, exercise judgment, and are empowered to make critical decisions that drive customer delight. Key Responsibilities Own the full lifecycle of features including design, implementation, and testing. Design and develop infrastructure services for Linux kernel and Ubuntu OS upgrades. Diagnose and resolve complex customer environment issues. Write and maintain code primarily in Python and/or Scala. Troubleshoot complex software problems efficiently. Collaborate cross-functionally to define and deliver new features. Maintain technical documentation and participate in code reviews. Drive continuous process and software quality improvements. Stay current with emerging software development trends. About You BTech/MTech/PhD in Computer Science or related field. 6 10 years of software development experience on Linux, preferably in Platform, Systems, Kernel, or Networking domains. Strong fundamentals in data structures, algorithms, and distributed system design. Deep knowledge of Linux distributions, especially Ubuntu. Strong systems programming skills and expertise in debugging and performance troubleshooting. Experience performing Linux kernel upgrades and kernel debugging. Proficiency in scripting languages and one or more of C++, Java, or Scala. Experience in large distributed systems design is preferred. Familiarity with storage, filesystems, or data protection technologies is a plus. Excellent communication and teamwork skills. About Rubrik Rubrik (NYSE: RBRK) is on a mission to secure the world s data through its Zero Trust Data Security platform. Leveraging machine learning, Rubrik Security Cloud safeguards data across enterprise, cloud, and SaaS applications, ensuring data integrity, availability, and resilience against cyber threats and operational disruptions. Qualification : BTech/MTech/PhD in Computer Science or related field.

Senior Software Engineer Continuous Product Delivery (CPD) Location: Pune, India About the Role & Team As a Senior Software Engineer in the CPD team, you will play a vital role in ensuring long-term stability and exceptional customer experience for Rubrik s on-premise data backup and management platform. You will collaborate closely with core engineering, product, and support teams while gaining deep expertise in Rubrik s distributed job framework, data lifecycle management, filesystem, and metadata store. We are looking for a highly skilled C++ developer with familiarity in Python and/or Scala, capable of developing and maintaining high-performance software applications. You will be empowered to take ownership, exercise sound judgment, and make impactful decisions, fostering a motivated and engaged engineering culture. Key Responsibilities Design, develop, and maintain high-quality software applications and libraries primarily in C++. Write and maintain supporting code in Python and/or Scala as needed. Troubleshoot complex software issues quickly and accurately. Collaborate with cross-functional teams to define, design, and deliver new features. Participate in code reviews, maintain coding standards, and author technical documentation. Drive continuous software quality and process improvements. Stay current with emerging software development trends and technologies. Qualifications & Skills B.Tech/M.Tech with 9 13 years of professional software development experience. Strong programming and troubleshooting skills, especially in C++. Proven ability to debug complex issues and deliver timely fixes. Excellent software design skills with understanding of distributed systems and multi-threading. Knowledge of the storage domain is a plus. Familiarity with operating systems such as Windows. Solid grasp of data structures, algorithms, design patterns, networking protocols, and security concepts. Experience with software development methodologies, tools, and processes. Strong analytical, problem-solving, communication, and teamwork skills. About Rubrik Rubrik (NYSE: RBRK) is on a mission to secure the world s data through its Zero Trust Data Security platform. Powered by machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications helping businesses maintain data integrity, availability, and resilience against cyberattacks and disruptions.

Software Engineering Manager Continuous Product Delivery (CPD) Location: Pune, India About the Team & Role As an Engineering Manager in the CPD Pune team, you will lead multiple software engineering teams focused on delivering long-term stability and exceptional customer experience for Rubrik s on-premise data backup and management platform. You will combine strong technical expertise with empathetic leadership to build high-performing teams and foster a culture centered on customer success and product quality. In this role, you will own the accountability for driving product stability, quality improvements, and successful roadmap delivery. You will collaborate closely with product managers, support teams, and other engineering leaders across India and the US, championing customer-centricity and continuous improvement. Key Responsibilities Hire, build, and grow strong, high-performing engineering teams. Lead by example with hands-on technical and operational involvement. Establish a culture of excellence, accountability, and customer focus. Collaborate with customers and support to troubleshoot and prioritize issues. Partner with Product Management and stakeholders to plan and deliver product roadmaps end-to-end. Drive metrics-driven initiatives to improve key performance indicators such as MTTR (Mean Time To Recovery) and reduce customer-found defects. Work with engineering leadership to improve product quality through fixes, tooling, and documentation. Manage project planning and prioritization, balancing roadmap delivery with operational needs. Mentor and coach engineers and senior contributors to maximize their growth and performance. Effectively handle customer escalations, leading from the front to ensure quick resolution. Qualifications & Skills Bachelor s degree in Computer Science or equivalent engineering discipline. 14+ years of industry experience with 2+ years in engineering management roles. Proven experience in solving complex problems and leading large-scale projects in distributed systems, preferably in storage, data protection, or security domains. Demonstrated ability to build and develop engineering teams. Strong communication skills, both written and verbal. Experience delivering enterprise-grade products with high quality standards. Skilled in managing hot customer escalations and driving quick turnarounds. Comfortable working with stakeholders across India and US time zones. About Rubrik Rubrik (NYSE: RBRK) is dedicated to securing the world s data through its Zero Trust Data Security platform. Powered by machine learning, Rubrik Security Cloud protects data across enterprise, cloud, and SaaS applications ensuring data integrity, availability, and resilience against cyberattacks and operational disruptions. Qualification : Bachelors degree in Computer Science or equivalent engineering discipline

About Talentica Software: Talentica Software is a specialized software development firm founded by seasoned industry experts and alumni of IIT Bombay. We partner with startups to create innovative products, using cutting-edge technologies to address real-world challenges. With over 21 years of experience, we have collaborated with more than 180 startups, primarily in the U.S., contributing to many successful exits. In 2022, Talentica Software was honored as one of India s Great Mid-Size Workplaces by Great Place to Work. What We re Looking For: We are seeking a motivated Data Analyst to join our growing team. If you're passionate about working with SQL, BigQuery, Tableau, and MongoDB, and enjoy optimizing data ecosystems, we d love to hear from you! In this role, you will play a key part in managing and enhancing our data infrastructure, working across SQL (Oracle), BigQuery, Tableau, and NoSQL databases like MongoDB. You'll also help build our Lakehouse architecture and ensure data accuracy while supporting the scalability of our platform. Your Responsibilities: Develop, optimize, and maintain SQL queries to support efficient data delivery for Tableau reports. Write and refine complex queries for Oracle and BigQuery databases to meet business reporting needs. Utilize MongoDB to query semi-structured data for analytics and reporting. Collaborate with BI developers and analysts to streamline data workflows and enhance report accuracy. Design and manage ETL/ELT pipelines for smooth data ingestion and transformation. Work with cross-functional teams to identify and implement improvements in data workflows. Troubleshoot and resolve data issues as they arise. Contribute to the early-stage development of our Lakehouse architecture. Prepare existing data workflows for seamless integration with modern cloud platforms. Stay current with emerging data technologies and contribute to ongoing modernization efforts. Perform data validation and reconciliation to ensure consistency across multiple data sources. Collaborate with data analysts and business stakeholders to resolve data discrepancies. Support data quality assurance initiatives and establish best practices for data reliability. What You ll Need to Succeed: Qualifications: A BE/BTech in Computer Science, Data Engineering, or a related field from a prestigious institution (IIT, NIT, BITS, etc.). Experience: At least 5 years of experience in SQL development and managing data pipelines. Technical Skills: Advanced SQL skills, including performance tuning and query optimization. Strong understanding of ETL/ELT processes and experience with data transformation. Hands-on experience with relational databases (Oracle, BigQuery) and NoSQL (MongoDB). Proficiency in Python or other scripting languages for automation. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Experience with BI tools like Tableau is highly desirable. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to manage multiple tasks independently in a fast-paced environment. What We Offer: Innovative Culture: We focus on cutting-edge development, not routine maintenance work. Our team thrives on staying ahead with the latest technologies. Continuous Learning: At Talentica, you ll find abundant opportunities to grow and keep up-to-date with the latest trends in technology. Brilliant Peers: Work alongside talented professionals from top engineering colleges (IITs, NITs, and more). Work-Life Balance: Enjoy flexibility with remote work options and adaptable schedules. Supportive Environment: 82% of our employees recommend Talentica to their peers (according to Glassdoor), thanks to our positive, collaborative work culture. Recognition & Rewards: Your hard work will be celebrated, with a culture that recognizes and appreciates your contributions. If you re excited about the prospect of working with a team of bright professionals and advancing your career, we d love to hear from you. Ready to make an impact? Apply today, and let s connect! Qualification : BE/BTech in Computer Science, Data Engineering, or a related field from a top-tier institution (IIT, NIT, BITS, etc.).

Minimum Qualifications: Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience in cloud architecture engineering. 4 years of experience working with IT and mainframe technologies such as COBOL, PL/I, RPG, Assembler, JCL, VSAM files, CICS, DB2, IMS, etc. 4 years of experience in mainframe modernization. Hands-on experience with mainframe migration and modernization tools like Micro Focus, Astadia, mLogica, and experience in data migration from mainframes to modern databases. Preferred Qualifications: 4 years of experience in Java development, especially with the Spring Boot framework. Experience in leading and delivering multiple mainframe modernization projects using tools such as Micro Focus, mLogica, Astadia, Java, etc. Proven experience in leading the scoping, proposal development, and writing of Statements of Work (SOW) for mainframe modernization projects. Familiarity with DevOps practices, CI/CD pipelines, containerization, and cloud platforms. Knowledge of IT security best practices (e.g., encryption, certificates, key management). Experience with Cloud products such as Google Cloud Platform (GCP) or other similar cloud technologies. About the Role: As a Cloud Mainframe Modernization Consultant, you will guide customers through configuring, migrating, and deploying their mainframe systems to Google Cloud. In this role, you may travel to customer sites to deploy solutions and conduct workshops to educate and empower customers. You will also collaborate with product teams to drive the development of Google Cloud products and features. As part of Google Cloud, you will work with some of our most important customers, supporting their implementation of Google Cloud products. This includes providing architecture guidance, best practices, data migration assistance, capacity planning, implementation, troubleshooting, monitoring, and more. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We provide enterprise-grade solutions leveraging Google s cutting-edge technology, tools that help developers build more sustainably, and trusted partnerships with customers in over 200 countries and territories, solving their most critical business problems. Responsibilities: Serve as a trusted technical advisor to customers, solving complex Cloud Mainframe migration challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations tailored to various business and technical stakeholders. Utilize a range of modernization tools and products to modernize mainframe systems. Assist customers in designing migration architectures and estimating total operating costs. Lead the delivery of complex mainframe migration projects, providing technical governance, leading teams, and ensuring project success through teamwork and collaboration. Qualification : Bachelors degree in Computer Science, a related technical field, or equivalent practical experience in cloud architecture engineering.