We are seeking a highly skilled Senior Data Engineer to help evaluate and design robust data integration solutions for large-scale, disparate datasets spanning multiple platforms and infrastructure types.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Statistics, or related technical field.
- 10+ years of experience in software/data engineering, including data pipelines, data modeling, data integration, and data management.
- Expertise in data lakes, data warehouses, data meshes, data modeling and data schemas (star, snowflake...).
- Strong expertise in SQL, Python, and/or R, with applied experience in Apache Spark and large-scale processing using PySpark or Sparklyr.
- Experience with Databricks in a production environment.
- Strong experience with AWS cloud-native data services, including S3, Glue, Athena, and Lambda.
- Strong proficiency with GitHub and GitHub Actions, including test-driven development.
- Proven ability to work with incomplete or ambiguous data infrastructure and design integration strategies.
- Excellent analytical, organizational, and problem-solving skills.
- Strong communication skills, with the ability to translate complex concepts across technical and business teams.
- Proven experience working with petabyte-level data systems.
Benefits
- We offer highly competitive salaries and full healthcare benefits.