Databricks Data Engineer | Senior
Tasks
- Apply data engineering best practices
- Build data pipelines
- Collaborate on cloud data lake data warehouse and lakehouse architectures
- Design enterprise data solutions
- Design integrations between enterprise systems and distributed data environments
- Develop lakehouse ingestion transformation and delivery
- Ensure performance security reliability and scalability
- Implement DataOps CI CD automation and version control
- Migrate workloads between cloud environments and Databricks
- Modernize analytical ecosystems
- Modernize legacy pipelines with Apache Spark and Databricks
- Support data governance quality and cataloging
Perks/Benefits
- Collaborative culture focused on innovation and continuous learning
- Professional growth opportunities
- Remote work flexibility
Skills/Tech-stack
AWS | AWS Glue | Apache Airflow | Apache Cassandra | Apache Spark | CI/CD | DBT | Data Cataloging | Data Governance | Data Lake | Data Modeling | Data Quality | Data Warehouse | DataOps | Databricks | Dimensional Modeling | ELT | ETL | Git | Kafka | Lake Formation | Lakehouse | MongoDB | PostgreSQL | SQL | Software versioning | Unity Catalog
Education
N/A
Roles
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