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Homeโ€บCompaniesโ€บSparix Globalโ€บSenior Data Engineer Databricks Noida (India)
SG

Senior Data Engineer Databricks Noida (India)

๐Ÿ“LOCATIONNoida
๐Ÿ“ˆEXPERIENCE10 to 14 Yrs
๐Ÿ•˜TYPEFull time
๐ŸฅIndustryIT Services & Consulting
๐Ÿ—“POSTED9 Aug 2026

01Overview

Dear Team, We have an immediate requirement for the below position. Kindly share only relevant and technically strong profiles matching the mandatory skills. Note: Wed 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 Solid 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. Key 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 robust and relevant profiles to avoid unnecessary rejections. Kindly share suitable profiles at the earliest along with the following details: Total Experience Relevant Experience in Databricks Current Location Preffered Location Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying. .

02What you'll need

Experience
10 to 14 Yrs
Employment Type
Full time
Programming languages
SQLDevOpsGitDatabricksPySparkDelta LakeAzure Data FactoryLakehouse ArchitectureAIBIUnity Catalog

03About SPARIX GLOBAL

IT Services & ConsultingIndustry
Full timeEmployment Type
NoidaLocation
Not Disclosed ยท salary hidden by employer
10 to 14 Yrs ยท Noida
Applications are reviewed directly by the hiring team.
Role Snapshot
Work ModeNot specified
Visa SponsorshipNot specified
RelocationNot specified
Job TypeFull time
SG
SPARIX GLOBAL
IT Services & Consulting
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