The Role
Execute large-scale data platform migrations to Snowflake, adapting approximately 1,000 datasets and pipelines. Build, test, monitor, and support reliable Apache Airflow workflows, including Airflow 2-to-3 migration. Work with Spark, PySpark, Kafka, Iceberg, Parquet, and AWS S3 while ensuring data quality, reliability, performance, and cost optimization. Collaborate with data platform teams on modernization initiatives and time-sensitive migrations through March 2027.
Summary Generated by Built In
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.
RECRUITMENT PROCESS
1. Application — Share a few details about your experience and background.
2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.
3. Video Interview — Record a short video introduction in English.
4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.
5. Offer — If it’s a match, you’ll receive an offer.
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.
Skills Required
- 3+ years of hands-on Python development experience
- Advanced SQL, including complex joins, CTEs, window functions, and performance tuning
- Snowflake data modeling experience
- Hands-on Apache Airflow development and testing experience
- Apache Kafka experience
- Apache Spark and PySpark experience
- Experience with Iceberg and Parquet data formats
- AWS experience, particularly S3, data lakes, partitioning, and lifecycle policies
- Strong software engineering fundamentals
- Testing strategy, debugging, and code-testing experience
- At least 2 years of industry experience with large-scale datasets, Airflow, and Spark
- Ability to overlap working hours until 12 PM Pacific Time
- Upper-intermediate English proficiency
- Hands-on Snowflake migration experience, including data warehouse modernization and performance or cost optimization
- Apache Airflow migration experience, including version upgrades, executor changes, or platform migrations
- Experience using AI tools for development
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
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