Quality Engineer
INR 1000K-1600K (estimate) Mid-level Full Time
Tasks
- Administer and monitor lakehouse environments
- Automate pipeline orchestration
- Create automation strategy for testing
- Design, develop, and deploy data pipelines
- Design, develop, and deploy data products
- Develop automated test scripts
- Ensure data governance and data quality
- Integrate pipelines with Power BI
- Migrate on-premise data to Azure
- Monitor and report defects
- Participate in code reviews
- Perform continuous testing for APIs
- Perform continuous testing for security
- Perform regression testing
- Retrieve integrate and prepare datasets
- Support data and environment configuration
- Transform raw data into analytics-ready datasets
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Databricks | Azure DevOps | Azure Integration | Azure Integration Runtime | Azure SQL | Azure SQL Data | Azure SQL Data Warehouse | Azure Synapse | Azure Synapse Analytics | Bash | CA Autosys | CI/CD | Data Factory | Data Lake Storage | Data Lineage | Data Modeling | Data Warehouse | Data Warehousing | Data anonymization | Databricks | Delta Lake | Delta Lake Processing | Delta Processing | ELT | ETL | ExpressRoute | GitHub | Informatica | Ingestion pipelines | Integration runtime | JSON | Java | Lakehouse | MLflow | Metadata Management | Power BI | Python | R | SQL Data Warehouse | SQL Server | Scala | Shell Scripting | Synapse Analytics | Tokenization | Unity Catalog | Unix/Linux | XML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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