We are looking for a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows.

The mandatory requirements are 3+ years of Python, advanced SQL, Snowflake data modeling, and hands-on experience with Airflow, Spark/PySpark, and AWS S3.

RECRUITMENT PROCESS
Application — Share a few details about your experience and background.
Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.
Video Interview — Record a short video introduction in English.
Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.
Offer — If it’s a match, you’ll receive an offer.

WHAT YOU’LL GAIN

• Remote work — Work from where you feel most productive.

• Local presence in India — Work in a structured and compliant workplace aligned with Indian regulations.

• Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness.





• Exciting projects — Work with modern technologies for global clients and rapid-growing companies.

MUST HAVES

• Solid software engineering fundamentals.

• 3+ years of hands-on Python development experience.

• Advanced SQL, including complex joins, CTEs, window functions, and performance tuning.

• Snowflake data modeling.

• Apache Airflow — developing and testing pipelines in Airflow and Python.

• Apache Kafka.

• Apache Spark, including hands-on PySpark experience.

• Iceberg and Parquet data formats.

• AWS experience, particularly S3 (data lakes, partitioning, and lifecycle policies).

• Testing strategy experience, with the ability to hands-on debug and test code.

• At least 2 years of industry experience working with large-scale datasets, including Airflow and Spark.

• Overlap until 12 PM Pacific Time.

• Upper-intermediate English level.

NICE TO HAVES

• Hands-on experience with Snowflake migrations (data warehouse modernization, performance and cost

📌 Data Engineer Navi Mumbai
🏢 AgileEngine
📍 Navi Mumbai