Senior Data Engineer
Tasks
- Build and optimize ETL processes
- Coach and mentor data engineers
- Communicate sprint goals timeline and resource needs
- Coordinate software development and address technical debt
- Design and develop scalable data pipelines
- Design and improve processes for efficiency and quality
- Ensure DevSecOps execution in daily work
- Implement new data features and deliver high quality code
- Lead code reviews design reviews testing and deployment
- Lead technical discussions across teams
- Monitor and optimize data infrastructure performance
- Provide end to end platform operations within service levels
- Select development approaches and solve technical challenges
- Translate business requirements into technical specifications
Perks/Benefits
Skills/Tech-stack
Apache Kafka | Artificial Intelligence | Azure | Azure Data | Azure Data Factory | Azure DevOps | Azure Synapse | Azure Synapse Analytics | CI/CD | Cloud Architecture | Data Factory | Data Governance | Data Modeling | Data Warehousing | Data pipeline | DataOps | Databricks | ETL | Git | Google BigQuery | Infrastructure Performance | Infrastructure Performance Monitoring | Jenkins | Logging | Machine Learning | Microsoft Power | Microsoft Power BI | Monitoring | Performance Monitoring | Power BI | PySpark | Python | REST APIs | SQL | Snowflake | Software Architecture | Synapse Analytics
Education
N/A
Roles
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