Role & responsibilities
Data Pipelines & ETL/ELT
Develop, schedule, and monitor ELT/ETL pipelines in Python to ingest data from APIs, files, and databases into Snowflake.
Implement transformations (SQL & Python) following modular, reusable patterns.
Leverage AI-assisted tooling (e.g., GitHub Copilot) to accelerate development, improve readability, and reduce boilerplatewhile ensuring correctness through reviews and testing
Snowflake Engineering
Build tables, views, stages, and secure data shares.
Tune queries and warehouse configs; manage roles, RBAC, and resource usage.
Use AI assistance to analyze query performance, refactor SQL, and identify optimization prospects
Cloud & Orchestration
Use cloud services (AWS/GCP/Azure) for storage, compute, and event triggers (e.g., S3/Blob/GCS; Lambda/Functions).
Orchestrate jobs (Airflow/Cloud Composer/Prefect/Azure Data Factory) with proper alerting & SLAs.
Apply AI tools to speed up pipeline scaffolding, DAG generation, and configuration validation
DevSecOps & Reliability
Apply CI/CD for data code (linting,



unit/data tests, IaC review gates).
Embed security scanning (dependencies, IaC policies), secrets management, and leastprivilege IAM.
Contribute to observability (logging, metrics, lineage, data quality checks).
Use AI responsibly to assist with test generation, documentation, and failure analysis
Collaboration
Work with Analytics/ML teams to productize models and enable selfservice.
Write transparent documentation (readme, runbooks, data dictionaries).
Actively learn and upskill in AIdriven engineering practices, sharing learnings with the team

Preferred candidate profile
3 - 6 years of experience in data engineering, analytics engineering, or backend engineering (internships/co-ops included).
Programming: Python (pandas, SQLAlchemy/DB APIs, typing, testing with pytest).
SQL & Warehousing: Solid SQL; experience with Snowflake (warehouses, stages, tasks, Snowpipe, RBAC).
C

📌 Data Engineer Chennai
🏢 NIELSENIQ INDIA
📍 Chennai