Sr. Data Engineer
INR 2700K-3900K (estimate) Senior-level Full Time
Tasks
- Architect analytical platform solutions
- Automate finance data extraction and reporting
- Build declarative data pipelines
- Build natural language analytics applications
- Configure data governance lineage and access controls
- Deploy models using model serving
- Design end to end data component architecture
- Design semantic models for BI reporting
- Develop AI applications with RAG
- Develop data architecture standards
- Implement governed audit ready data products
- Mentor engineers and BI analysts
- Migrate analytics to Microsoft Fabric
- Orchestrate data workflows
- Perform root cause analysis for data issues
- Produce finance reporting metrics and KPI dictionaries
- Transform data using Python and PySpark
Perks/Benefits
- Community outreach programs
- Employee Resource Group
- Employee stock purchase program
- Flexible benefits
- Health and wellness incentives
- Performance-Based Bonus Plans
Skills/Tech-stack
AWS Lambda | AWS S3 | AWS SageMaker | AWS Step Functions | Alerting | Amazon Bedrock | Amazon MWAA | Amazon Redshift | Asset bundles | CI/CD | Column-Level Security | DAX | DLT | Data Engineering | Data Governance | Databricks | Databricks Apps | Databricks Lakehouse | Databricks Workflows | Delta Lake | Direct Lake | Git | GitHub Actions | Hyperion | Lakeflow | Lakehouse | Langchain | Langgraph | Medallion Architecture | Microsoft Fabric | Microsoft Purview | Model Serving | OneStream | OpenSearch | Oracle | Power BI | PySpark | Python | RAG | Retrieval-Augmented Generation | Row Level Security | SAP | SAP ABAP | SAP BW | SAP CO | SAP FI | SAP RFC | SAP SD | SLA monitoring | Step Functions | Tableau | Unity Catalog | Vector Databases | Vector Search
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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