Python Data Engineering with AI
INR 1300K-2500K (estimate) Mid-level Full Time
Tasks
- Build real-time data processing solutions
- Build scalable data platforms
- Design data lakes and data warehouses
- Design distributed systems
- Develop AI agents in data workflows
- Develop and tune SQL and PL/SQL queries
- Develop data pipelines and ETL processes
- Ensure data quality and data lineage
- Implement data virtualization solutions
- Integrate retrieval augmented generation with vector databases
- Optimize and scale data processing and analytics
- Perform data modeling and warehousing
- Set up and configure MCP servers for agent tooling
- Use large language models for data engineering use cases
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Ab Initio | Amazon Redshift | Apache Airflow | Apache Spark | Data Lake | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Store | Data Warehousing | Data mesh | Data virtualization | Databricks | Distributed Systems | ELT | ETL | Flink | Hadoop | Java | LLM | Language Models | Large Language Models | MCP | Model Context Protocol | MongoDB | OLTP | Operational data | Operational data store | Oracle | PL/SQL | Python | RAG | Real Time | Real-time Processing | Retrieval-Augmented Generation | SQL | Scala | Snowflake | Starburst | Talend | Time processing | Unix Shell | Vector Databases
Education
N/A
Roles
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