Das ist der Job
Responsibilities Own data pipelines end to end: design, build, run, monitor, and troubleshoot.
Darum lohnt es sich
Build and maintain Apache Airflow workflows. Develop dbt models in Redshift, including incremental strategies and data quality tests. Design and build lake-layer pipelines. Manage cloud infrastructure and configuration. Maintain CI/CD pipelines with secure cloud authentication.
Investigate and resolve production incidents using monitoring and alerting effectively. Follow the typical new source flow end to end. Requirements 5+ years of data engineering or related experience. Excellent knowledge of SQL and understanding of data warehouse concepts. Hands‑on experience in Redshift (or similar).
Hands‑on experience with ELT/ETL flows using dbt and Apache Airflow. Solid AWS experience across object storage, containers, managed ETL, and related analytics services. Experience with Git, CI/CD, and Docker. Proven ability to own projects from requirements gathering through production monitoring.
Strong operational mindset to troubleshoot systematically. Ability to work independently while collaborating well with analytics and platform stakeholders. #J-18808-Ljbffr
