Senior Data Engineer
Tasks
- Define data engineering best practices and standards
- Deploy and maintain system and database monitoring tools
- Design, architect, and document database schema and data pipelines
- Develop statistical models for data quality assurance and data imputation
- Ensure data governance, security, and compliance
- Implement and test data collection storage and mapping procedures
- Lead projects as technical lead
- Mentor junior engineers and review code
- Optimize data throughput and query performance
- Troubleshoot data platform technical and performance issues
- Write, optimize, and automate data processing tasks
Perks/Benefits
Skills/Tech-stack
API Integration | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Analytics | Azure Databricks | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | DAX | Data Compliance | Data Factory | Data Governance | Data Lake | Data Lake Analytics | Data Modeling | Data Security | Delta Lake | ETL | Git | Power BI | Python | SQL | SQL Database | Synapse Analytics
Education
Roles
Regions
Countries
States
Cities
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