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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 : Adaptable 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.

📌 Ingeniero/a de Datos AWS (Granada)
🏢 AgileEngine
📍 Granada