Data Engineer
Tasks
- Build and maintain scalable ETL and ELT data pipelines
- Build scalable data storage and compute on cloud
- Catalog and document data assets
- Implement data quality checks and monitoring
- Ingest and transform data from enterprise sources
- Model datasets for Power BI reporting
- Optimize Databricks lakehouse performance
- Prepare and optimize datasets for AI use cases
- Prepare data for machine learning using Databricks
- Support data governance including lineage and security
Perks/Benefits
- Dependent coverage
- HMO coverage
- Hybrid work schedule
- Work location flexibility up to 30 days per year
Skills/Tech-stack
Apache Spark | Azure | Cloud platform | Data Governance | Data Lakehouse | Data Lineage | Data Modeling | Data Monitoring | Data Quality | Data Security | Databricks | Databricks Workflows | ELT | ETL | Feature Store | Google Cloud | Google Cloud Platform | Informatica | Machine Learning | Power BI | PySpark | Python | SQL
Roles
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