Data Engineer ID94415

AgileEngine, LLC.; Ahmedabad District; Hybrid; INR 1,500,000 - 3,500,000; Full time

Benefits offered by this job

Remote work

Local presence in India

INR compensation

Exciting projects

Job summary

AgileEngine, LLC. is seeking a Data Engineer to lead large-scale data platform migrations to Snowflake and maintain Airflow workflows. The role requires 3+ years of Python, advanced SQL, Snowflake modeling, and Airflow/PySpark expertise.

The candidate will migrate about 1,000 datasets, adapt pipelines to Snowflake, and ensure data quality while supporting Airflow 3. This role supports remote work with local presence in India and offers INR compensation.

Qualifications

• 3+ years of hands-on Python development.
• Advanced SQL with complex joins, CTEs, window functions.
• Snowflake data modeling experience.
• Airflow development and testing.
• Kafka and Spark (PySpark) experience.
• Iceberg and Parquet formats proficiency.
• AWS S3 data lake experience.
• Testing strategy and debugging skills.
• 2+ years handling large-scale datasets with Airflow/Spark.
• Overlap until 12 PM Pacific Time; upper-intermediate English.

Responsibilities

• Support large-scale data platform modernization within the data team.
• Migrate about 1,000 datasets to Snowflake.
• Adapt pipelines to Snowflake following internal architecture.
• Ensure data quality and reliability during migrations.
• Support Airflow scheduling and monitoring in Airflow 3.
• Execute migrations: Airflow 2->3, Confluent region updates, Iceberg.
• Drive migration milestones to completion by March 2027.

Skills

Strong software engineering

3+ years Python

Advanced SQL

Apache Airflow

Apache Kafka

Apache Spark / PySpark

Iceberg / Parquet

AWS S3

Testing strategy

English (Upper-intermediate)

Tools

Snowflake

Airflow

Spark / 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.