Data Engineer ID94415

AgileEngine; Kolkata District; Remote; INR 1,500,000 - 2,800,000; 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 to lead large-scale data platform migrations to Snowflake and to support reliable Airflow workflows. You will work with modern technologies for global clients and fast-growing companies.

Requirements include 3+ years of Python development, advanced SQL, Snowflake data modeling, and hands‑on Airflow, Spark/PySpark, and AWS S3 experience. Overlap until 12 PM PT is needed; English should be at an upper-intermediate level.

Qualifications

• 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 PySpark.
• Iceberg and Parquet data formats.
• AWS experience, particularly S3.
• Testing strategy experience, with hands-on debugging and testing.
• 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.

Responsibilities

• Work embedded within the data engineering function 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 internal architecture.
• Ensure data quality and reliability throughout the migration process.
• Support workflow scheduling and monitoring in Apache Airflow 3.
• Execute migrations including Airflow 2 to 3 and Iceberg moves.
• Help accelerate migration initiatives to complete by end of March 2027.

Skills

Python

Advanced SQL

Airflow

PySpark

Snowflake

AWS S3

Big data

Kafka

Iceberg

Parquet

English

Tools

Airflow

Snowflake

PySpark

Kafka

Iceberg

Parquet

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.
• 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 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.