Описание

This Data Engineer will be building and operating data pipelines and platforms for NielsenIQ products in Chennai.

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 boilerplate
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 opportunities
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

-5 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: Strong SQL; experience with Snowflake (warehouses, stages, tasks, Snowpipe, RBAC)
Cloud Basics: Familiarity with one major cloud (AWS/Azure/GCP) and storage + compute + IAM fundamentals
DevSecOps Mindset: Git, CI/CD (GitHub Actions/Azure DevOps/GitLab CI), code reviews, secret handling, dependency scanning
Data Quality: Exposure to unit tests, data validation (e.g., Great Expectations/dbt tests), and monitoring principles

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