Related skills
aws python apache spark data governance apache airflow📋 Description
- Lead data management strategy aligned with business goals.
- Oversee scalable data pipelines and processing at scale.
- Ensure data quality, governance, and compliance across the org.
- Develop ETL pipelines and workflows with modern tools.
- Manage Apache Airflow workflows and data infrastructure.
- Mentor and lead a team of data engineers and analysts.
🎯 Requirements
- Proven expertise in data management, governance, and scalable pipelines.
- Hands-on with Apache Airflow, Apache Iceberg, and AWS services (S3, Lambda, Redshift, Glue, Athena).
- Data pipeline design, implementation, and optimization (Python or similar).
- Experience with Trino/Presto and Apache Spark for distributed processing.
- Strong data modeling, warehousing concepts, and schema design.
- Leadership: mentor teams, influence stakeholders, drive data initiatives.
🎁 Benefits
- Cutting-edge technology to solve complex data challenges.
- Impactful work shaping the storage industry and enabling customers.
- Collaborative, inclusive culture focused on teamwork.
- Career growth and continuous learning opportunities.
- Generous health coverage and 401(k) matching.
- Bonus points: Looker/Tableau experience.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!