Sr. Data Engineer
Tasks
- Apply cluster configuration and job orchestration best practices
- Build and maintain Databricks Spark transformations notebooks and jobs
- Enable data pipelines for AI machine learning and advanced analytics
- Establish data quality checks validations and compliance
- Extract, transform, and load data into data warehouse
- Implement data governance frameworks and monitoring
- Implement medallion architecture bronze/silver/gold
- Integrate data from databases APIs and external systems
- Lead data pipeline design development and optimization
- Optimize data processing workflows and query performance
Perks/Benefits
- 401k match
- Commuter benefits
- Dental insurance
- Life insurance
- Medical insurance
- Paid Holidays
- Paid time off
- Paid time off to volunteer
- Product Discounts
- Rewards and recognition programs
- Student loan repayment
- Tuition assistance
- Vision insurance
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | Bash | Cluster configuration | Cost Optimization | Data Cleansing | Data Factory | Data Governance | Data Modeling | Data Quality | Data Validation | Data Warehouse | Data integration | Data pipeline | Databricks | Incremental processing | Java | Job orchestration | Medallion Architecture | NoSQL | Performance Tuning | Powershell | Python | R | Relational databases | SQL | Scala | Synapse Analytics
Education
Roles
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