Software Engineer – Data Platform
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build enhance extraction services
- Build production metadata driven data handling components
- Define and version control data quality rules and validation frameworks
- Design secure scalable fault tolerant data ingestion pipelines
- Develop reusable version controlled platform components APIs and data interfaces
- Establish data quality management monitoring and reporting
- Implement CDC, delta, and event-based patterns
- Implement automated data quality monitoring with quarantining logic
- Implement observable data pipelines with logging alerting and failure handling
- Implement structured data access request workflows with audit trails
- Integrate Unity Catalog for lineage and dataset discoverability
- Integrate with SAP Salesforce SharePoint and API or file endpoints
- Maintain web accessible data catalog metadata management and integration
- Operate services APIs and data pipelines
Perks/Benefits
Skills/Tech-stack
APIs | Alerting | Azure | Azure Data | Azure Data Lake | Azure Data Lake Storage | CDC | CI/CD | Data Lake Storage | Data Lakes | Data Quality | Databricks | Debezium | Distributed Systems | ETL | Git | HTTP | Integration Services | Java | Kerberos | Logging | Metadata Management | Monitoring | Python | Rclone) | SQL | SQL Server | SQL Server Integration Services | SQL Server integration | Scala | Server Integration Services | Theobald Extract Universal | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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