Responsibilities

• Bring a background spanning more than three years in data engineering, focusing on AWS tools like Glue, S3, Lambda, EventBridge, IAM, and Athena, combined with Snowflake expertise involving snowpipe, streams, tasks, stored procedures, and Snowpark.
• Build and maintain feature pipelines for the enterprise feature store, applying proven feature engineering practices such as encoding, scaling, and imputation, aligned with evolving industry and consulting standards.
• Deliver analytics-ready datasets, following established Exploratory Data Analysis techniques along with technical feasibility, scalability, and integration with enterprise systems.
• Build reusable Enterprise data pipelines using software engineering practices including CI/CD concepts, Test Driven Development practices, and Secure Coding practices.
• Take ownership of moderately complex tasks end to end - design, build, test, deploy, and support - writing readable, maintainable code while adhering to coding practices and data protection standards.
• Engage in requirement analysis, testing,



debugging, documentation, and quality review across data management process builds, models, and architectures.
• Work with multi-functional teams across Data Engineering, Machine Learning Operations, and Data Scientists to position data for training and inference pipelines, without directly owning model development or deployment activities.
• Own data quality for what you deliver, including automated tests, reconciliation, and monitoring, so that feature assets stay trustworthy in production.
• Document feature lineage, definitions, and usage so that other teams reuse what you build instead of rebuilding it.
• Leverage AI-powered engineering tools, including GitHub Copilot and other approved GenAI solutions, to improve developer efficiency, code quality, documentation, test case generation, and resolving challenges.
• Demonstrate an outlook of AI adoption and continuous learning. Proactively find opp

📌 Senior Data Engineer (Hyderabad)
🏢 Principal Financial Group
📍 Hyderabad