Senior Data Engineer

EXL Service -
Pune, Maharashtra

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Job details

Full-time

Qualifications

Performance tuning
Law
Master's degree
Databases
SQL
AWS
ETL
AI
Data warehouse
Design patterns

Full job description

Job Description: We are looking for a Senior Data Engineer with exposure to Agentic AI concepts who can bridge modern data platforms with intelligent automation. The ideal candidate will have strong hands-on experience in AWS-based data engineering and working knowledge of emerging frameworks like LangGraph and Agentic AI use cases, especially around code generation and workflow automation.

Responsibilities: Key Responsibilities

Data Engineering:

Design and build scalable data pipelines using AWS Glue and PySpark
Implement data lake architectures leveraging AWS Lake Formation
Develop and optimize data models and transformations in Snowflake
Ensure data quality, governance, and performance optimization across pipelines
Work with structured and semi-structured data at scale
Contribute to Agentic AI use cases , especially:
- Automated code generation (ETL / SQL / PySpark)
- Intelligent pipeline orchestration
Work with agent orchestration frameworks like LangGraph (intermediate level)
Understand and experiment with AgentCore or similar agent execution environments
Collaborate with AI/ML teams to integrate LLM-driven workflows into data platforms
Build proof-of-concepts (POCs) for AI-assisted data engineering

Qualifications: Required Skills

Strong experience in:
- AWS Glue
- AWS Lake Formation
- PySpark (hands-on coding)
- Snowflake (data warehousing & performance tuning)
Good understanding of:
- Data lake & lakehouse architectures
- ETL/ELT design patterns
- Data governance and security
Experience or exposure to:
- Agentic AI use cases (preferably code generation / automation)
Working knowledge of:
- LangGraph (Intermediate)
Basic understanding of:
- AgentCore or similar frameworks

Good to Have

Experience with LLM integrations (OpenAI, Bedrock, etc.)
Understanding of prompt engineering & workflow chaining
Exposure to MLOps / LLMOps concepts
Knowledge of vector databases / RAG pipelines

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