Senior Data Engineer (Databricks)

Sparix Global. (IN, , India) Follow 16 days ago

Full-time 150,000 INR

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Dear Team,

We have an immediate requirement for the below position. Kindly share only relevant and technically strong profiles matching the mandatory skills.
Note: We'd require UAN after L1 selection.

Position: Senior Data Engineer (Databricks)
Experience: 5 10 Years
Work Mode: Hybrid (3 days/week)
Locations: Gurugram, Bengaluru, Pune, Hyderabad, and Bhopal
Monthly Rate: 1.50 LPM

Mandatory Technical Skills

Strong hands-on experience with Databricks (PySpark, SQL, Delta Lake, Unity Catalog, Databricks Workflows/Jobs Orchestration)
Azure Data Factory (ADF)
Lakehouse Architecture (Bronze, Silver & Gold layers)
Databricks Lakeflow (Declarative Pipelines, Lakeflow Connect, CDC, Data Quality Validations)
AI/BI & Genie (Semantic Layers, Certified Datasets, Self-Service Analytics)
AI Engineering (LLMs, RAG, Vector Search, Prompt Engineering, AI Agents/Copilots)
Unity Catalog Governance (Access Control, Data Masking, Audit Logging, Lineage)
DevOps (Git, CI/CD, Databricks Repos, Asset Bundles)

Key Responsibilities

Design, develop, and support enterprise-scale data pipelines using Databricks.
Build and maintain Delta Tables under Unity Catalog.
Develop Lakeflow pipelines with incremental processing and CDC.
Enable AI/BI capabilities using Semantic Models and Genie Spaces.
Integrate SharePoint and other enterprise data sources into the Lakehouse.
Ensure data quality, governance, platform performance, and operational reliability.
Work independently to resolve technical challenges.

Important Screening Notes

Strong hands-on Databricks experience is mandatory.
Candidates must have real project experience with:
- Lakehouse Architecture
- Unity Catalog
- Databricks Lakeflow
Experience with AI-enabled analytics, RAG solutions, LLMs, or AI Agents/Copilots will be highly preferred.
Please share only technically strong and relevant profiles to avoid unnecessary rejections.