Data Engineer
USD 105K-147K (estimate) Mid-level Full Time
Tasks
- Apply version control and automated testing
- Build ETL processes
- Build scalable Spark applications
- Design data models for dashboards and reporting
- Design data pipelines
- Develop data documentation
- Ensure data governance security and architecture alignment
- Implement data validation and reconciliation
- Ingest transform and curate data from multiple sources
- Maintain analytical datasets
- Manage CI/CD deployments
- Monitor and troubleshoot pipeline issues
- Optimize pipeline performance scalability reliability
Perks/Benefits
Skills/Tech-stack
.NET | Ansible | Automated testing | Avro | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen 2 | Azure Databricks | Azure DevOps | Azure Synapse | Azure Synapse Analytics | Blob Storage | C# | CI/CD | Data Factory | Data Governance | Data Lake Storage Gen 2 | Data Reconciliation | Data Validation | Delta Lake | Git | GitHub | Java | Microsoft Azure | Parquet | PostgreSQL | Power BI | PySpark | Python | SQL | SQL Server | Scala | Spark | Synapse Analytics | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Regions
Countries
States
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