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Open nowPosted 15 days ago

Sr AI Data Engineer

TechBlocks58 open roles

Where
Gurugram
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Your applicationOpen nowSr AI Data EngineerTechBlocks · Gurugram

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: posted 15 days ago

The posting

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 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.
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