Data Engineer 2
IND-CORP Bengaluru-TDIM - PTT, India
INR 2500K-4401K (estimate) Senior-level Full Time
Tasks
- Build AI agents for data engineering automation
- Build RAG pipelines leveraging data assets
- Build and maintain Delta Lake tables and lakehouse components
- Collaborate with product and engineering teams in Agile
- Contribute to CI/CD pipelines and infrastructure as code
- Design build maintain data pipelines
- Develop agentic workflows with LangGraph or LangChain
- Develop data services and APIs
- Develop event driven workflows for real time triggers
- Document data models and pipeline design decisions
- Follow data governance security and compliance practices
- Implement data access patterns caching and partitioning
- Implement distributed task processing for async workloads
- Implement natural language to data query using LLMs
- Implement pipeline monitoring and data quality checks
- Implement structured logging and observability
- Integrate LLM APIs for data enrichment
- Orchestrate data workflows
- Perform code reviews for data quality and reliability
- Write and optimize SQL transformations
- Write unit tests and integration tests
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Azure Data | Azure Data Factory | Azure Databricks | Azure Databricks Workflows | Azure OpenAI | Azure Service | Azure Service Bus | CI/CD | Celery | ChromaDB | Dapr | Data Factory | Databricks | Databricks Workflows | Datadog | Delta Lake | Docker | ELT | ETL | FastAPI | Git | Infrastructure as Code | Kubernetes | Lakehouse Architecture | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Natural Language | Natural Language to SQL | Observability | PGVector | PostgreSQL | PySpark | Pydantic | Pytest | Python | Qdrant | RAG | Redis | SQL | Service Bus | Structured Logging | Vector Databases | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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