Ingeniero/a de Datos AWS ID94415
Hace 22 horas
Zaragoza, Aragon, España
AgileEngine
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AgileEngine is an Inc. 5000 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 2027. 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.
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 2027. 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.