Data Engineer ID94415

AgileEngine, LLC.; Kolkata District; Remote; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Remote work

Local presence in India

Competitive INR compensation

Exciting projects

Job summary

AgileEngine, LLC. is seeking a Data Engineer in India to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. The role requires 3+ years of Python and advanced SQL experience, Snowflake data modeling, and hands-on Airflow, Spark/PySpark, and AWS S3 expertise.

Remote work is offered with a local presence in India. Compensation is in INR, with opportunities for learning, education, and wellness support.

Qualifications

• 3+ years of hands-on Python development experience.
• Advanced SQL including joins, CTEs, window functions, and performance tuning.
• Apache Airflow — developing and testing pipelines in Airflow and Python.
• Apache Spark, including PySpark experience.
• Iceberg and Parquet data formats.
• AWS experience, particularly S3 (data lakes, partitioning, lifecycle).
• Hands-on testing and debugging of code.
• At least 2 years of industry experience working with large-scale datasets, including Airflow and Spark.

Responsibilities

• Assist in migrating ~1,000 datasets to Snowflake and modernize data pipelines.
• Adapt existing pipelines to Snowflake following the internal architecture.
• Ensure data quality and reliability during migration.
• Support workflow scheduling and monitoring in Apache Airflow.
• Execute time-sensitive migrations including Airflow upgrades and Iceberg migration.
• Collaborate with data platform team on large-scale modernization initiatives.

Skills

Python development

Advanced SQL

Snowflake data modeling

Apache Airflow

Spark/PySpark

AWS S3

Iceberg/Parquet

Testing

Large-scale data

Tools

Snowflake

Airflow

Spark

PySpark

AWS S3

Job description

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.

WHAT YOU’LL GAIN

• Remote work — Work from where you feel most productive.
• Local presence in India — Work in a structured and compliant environment 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 fast-growing companies.

MUST HAVES

• Strong software engineering fundamentals.
• 3+ years of hands-on Python development experience.
• Advanced SQL, including complex joins, CTEs, window functions, and performance tuning.
• Apache Airflow — developing and testing pipelines in Airflow and Python.
• 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.

NICE TO HAVES

• Hands-on experience with Snowflake migrations (data warehouse modernization, performance and cost optimization).
• Experience with Apache Airflow migrations (version upgrades, executor changes, or platform migrations).
• Experience using AI tools for development.

WHAT YOU WILL DO

• Work embedded within the data engineering function, partnering closely with the data platform team to support a large-scale data platform modernization effort.
• Execute the migration of approximately 1,000 datasets to Snowflake.
• Adapt existing pipelines to Snowflake, following the core architecture and technical approach defined by the internal team.
• Ensure data quality and reliability throughout the migration process.
• Support workflow scheduling and monitoring in Apache Airflow 3.
• Execute time-sensitive migrations, including Airflow 2 to 3, Confluent region migration, and the move to Iceberg.
• Help accelerate the migration initiatives targeted for completion by the end of March 2027.