Data, Engineer
Core
Design, develop, and maintain ELT/ETL pipelines and data platform infrastructure to ensure reliable data processing, security, and performance.
Role type
Senior Data Engineer (Data Platform & Pipelines)
Builds
Production data pipelines, orchestration workflows, and lakehouse environments
Domain
Data Engineering / Enterprise Data Platforms
Deliverable
production ML models | product features
Required skills
SQL, Python, PySpark, Apache Spark, Trino, Apache Airflow, ELT/ETL development, CI/CD, lakehouse architecture, object storage
Preferred skills
Data platform administration, access management, performance optimization, capacity planning
Technologies
Apache Airflow, Apache Spark, Trino, Bitbucket, Jenkins, SQL, Python, PySpark
Responsibilities
Design and maintain ELT/ETL pipelines; Build and maintain data orchestration workflows; Monitor pipeline execution and troubleshoot issues; Administer lakehouse, object storage, and data platform environments; Manage user access, roles, and resource quotas; Optimize storage configurations and platform performance.
Seniority
Senior, hands-on IC
