Architect - Data Engineering (Location: INDIA, Hybrid)
Tasks
- Build ETL ELT pipelines in Databricks with Delta Lake
- Configure Airbyte connectors for CDC ingestion
- Coordinate cross functional data engineering pod
- Define QA approach data quality rules test strategy reconciliation
- Drive sprint planning milestone tracking execution
- Ensure CI CD pipelines for data assets
- Identify risks dependencies and blockers
- Implement infrastructure-as-code
- Integrate API based sources
- Lead data QA work and enforce quality gates
- Lead data modeling across enterprise domains
- Mentor engineers codify reusable patterns
- Own end to end data engineering delivery
- Run design reviews technical working sessions
- Serve as day to day technical point of contact
- Translate architecture to executable plan
Perks/Benefits
Skills/Tech-stack
API Integration | ARM | Airbyte | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure SQL | Azure SQL Managed Instance | Azure Synapse | Bicep | CDC | CI/CD | Cosmos DB | Data Factory | Data Lake Storage Gen2 | Data Modeling | Data Quality | Delta Lake | Fivetran | Infrastructure as Code | Infrastructure observability | Integration Testing | Lineage validation | Managed Instance | Medallion Architecture | Network Security | PII Classification | PySpark | Reconciliation | Regression testing | SCD Type-2 | SQL Managed Instance | Secret management | Spark SQL | Terraform | Type 2) | Unit Testing | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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