Sr AI Data Engineer

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 2 days ago
5-10 years
Hyderabad | Gurugram, India
work from office

Posted: 2 days ago
|
Applicants: 149+
Job Description
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Job Description

Required Skills & Experience
    • 7+ years of experience in Data Engineering.
    • Minimum 3 years of hands-on experience with Databricks.
    • Strong hands-on experience with:
    • PySpark
    • Delta Lake
    • Databricks Workflows
    • Unity Catalog
    • Strong SQL development and optimization skills.
    • Strong experience in dimensional data modelling and star schemas.
    • Hands-on experience with Slowly Changing Dimensions (SCD).
    • Experience building production-grade data ingestion and transformation pipelines.
    • Experience integrating multiple enterprise source systems, preferably ERP, planning and HR systems.
    • Hands-on experience integrating Databricks with Microsoft Fabric.
    • Good understanding of:
    • Microsoft OneLake
    • Fabric Lakehouses
    • OneLake shortcuts
    • Proven hands-on experience building LLM/AI agents using Python.
    • Proven hands-on experience building MCP servers using Python in a real-world project.
    • Understanding of secure and governed access for AI agents and tools.
    • Strong understanding of data quality, reconciliation, lineage and data governance.
    • Ability to work with business and technical stakeholders to translate requirements into data solutions.

Strongly Preferred Skills
    • Experience in

      Looking to get Placed? Try our Placement Guarantee Plan

      Finance, FP&A or financial data engineering
      .
    • Strong understanding of:
    • GL structures
    • Budgets
    • Forecasts
    • Estimates
    • Allocations
    • Cost centres
    • Financial planning scenarios
    • Experience with TBM (Technology Business Management) classification or similar financial classification frameworks.
    • Experience building AI-powered data engineering or ingestion solutions.
    • Experience with agentic workflows for data mapping, classification and anomaly detection.
    • Experience with additional LLM frameworks such as LangChain, LangGraph or similar.
    • Experience with enterprise AI governance and secure AI/data access.
    • Experience with Databricks data governance and lineage.
    • Experience implementing automated data reconciliation and financial controls.
    • Experience working with Microsoft Fabric-based enterprise analytics environments.

Skills

PythonSQLLangChainLLMData EngineeringPySparkDatabricksReconciliationFP&A

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Important dates & deadlines?

Application Deadline

06 Dec 26, 12:50 PM IST

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