Data Engineer ID94415

AgileEngine; Maharashtra; Remote; INR 1,800,000 - 3,000,000; Full time

Benefits offered by this job

Remote work

Local presence in India

Learning and wellness support

Exciting projects with global clients

Job summary

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

You will work remotely with a local presence in India and participate in modern projects for global clients. Ideal candidates have strong software engineering fundamentals, experience with big data tooling, and a focus

Qualifications

• 3+ years of Python development experience.
• Advanced SQL with complex joins, CTEs, windows, and tuning.
• Snowflake data modeling knowledge.
• Experience with Apache Airflow and PySpark.
• Experience with AWS S3 and data lakes.
• Experience with Apache Spark, PySpark, and large datasets.
• Familiarity with Iceberg and Parquet formats.
• Strong testing and debugging skills.

Responsibilities

• Migrate and modernize large-scale data platforms to Snowflake.
• Develop and test Airflow pipelines in Python.
• Collaborate with data platform team on modernization initiatives.
• Ensure data quality and reliability during migrations.
• Support timely migration of datasets and monitoring of workflows.

Skills

Python development

Advanced SQL

Snowflake modeling

Airflow

PySpark

AWS S3

Kafka

Data quality

Large datasets

Tools

Snowflake

Spark/PySpark

Airflow

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.