Data Engineer Id94415

Job Description AgileEngine is an Inc. ** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN US If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!ABOUT THE ROLE We are looking for a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows.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 **.PERKS AND BENEFITS - Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.- Competitive compensation : USD-based pay with education, fitness, and team activity budgets.- Exciting projects : Modern solutions with Fortune 500 and top product companies.- Flextime : Flexible schedule with remote and office options.Meet Our Recruitment Process Application ? Coding Challenge ? Video Interview ? Technical Interview or Hiring Manager Interview Each step helps us understand your skills and overall fit.If it’s a match, you’ll receive an offer.Requirements 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.

ABOUT THE ROLE We are looking for a Data Engineer to execute large-scale data platform migrations to Snowflake and support reliable Airflow workflows. 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., Requirements 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.

Job Description AgileEngine is an Inc. ** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!