Data Engineer ID94415

AgileEngine, LLC.; Ernakulam; Remote; INR 1,800,000 - 2,400,000; 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 execute large-scale migrations to Snowflake and to support robust Airflow workflows. The role requires 3+ years of Python, advanced SQL, and hands-on Spark/PySpark experience, with strong AWS S3 knowledge.

You will work on modern data platforms, collaborate with the data platform team, and contribute to a global client base through spaced deployments and scheduled data migrations.

Qualifications

• 3+ years of hands-on Python development experience.
• Advanced SQL with complex joins, CTEs, window functions, and performance tuning.
• Hands-on experience with Apache Airflow, Spark/PySpark, and AWS S3.
• Experience with Iceberg and Parquet data formats.
• AWS experience, particularly S3, for data lakes, partitioning and lifecycle policies.
• At least 2 years of industry experience working with large-scale datasets, including Airflow and Spark.

Responsibilities

• Migrate data platform to Snowflake at scale.
• Support reliable Airflow workflows and data pipelines.
• Adapt existing pipelines to Snowflake following internal architecture.
• Ensure data quality and reliability during migration.
• Support workflow scheduling and monitoring in Airflow 3.
• Lead migrations including Airflow 2 to 3 and Iceberg transition.

Skills

Python

Advanced SQL

Airflow

PySpark

Iceberg

Parquet

S3

Big data

Tools

Snowflake

Airflow

Spark

PySpark

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.
• 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.