Senior Data Engineer
Tasks
- Collaborate with data analysts data scientists and business stakeholders
- Design, develop and maintain ETL/ELT data pipelines
- Develop and optimize data processing solutions on Databricks
- Ensure data quality, consistency, and governance
- Implement data transformations cleansing and aggregation
- Ingest data from databases APIs files and cloud systems
- Maintain documentation for workflows pipelines and data models
- Monitor troubleshoot and resolve job failures and performance issues
- Optimize jobs for performance scalability and cost efficiency
- Orchestrate workflows using Apache Airflow
- Support deployment processes and release data solutions
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision coverage
- Paid time off
- Personal days
- Retirement savings plan
- Sick leave
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | Azure Data | Azure Data Factory | Azure Data Lake | CI/CD | Data Factory | Data Governance | Data Lake | Data Modeling | Data Security | Databricks | Delta Lake | ELT | ETL | GCP | Git | Kafka | Logging | Monitoring | PySpark | Python | SQL | Spark Streaming
Education
N/A
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