Databricks Developer

Reposted 22 Days Ago
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Chennai, Tamil Nadu, IND
In-Office
Senior level
Artificial Intelligence • Big Data • Cloud • Analytics • Business Intelligence • Generative AI • Big Data Analytics
The Role
Design and implement ETL/ELT pipelines using Azure Databricks and ADF. Analyze data, apply data warehouse concepts and complex SQL, provide technical expertise to stakeholders, work independently within Agile teams, and respond to client data questions and insights.
Summary Generated by Built In
JD Azure Databricks : • Analyse the data in ADF and provides tool based technical expertise to the team members • Expert in designing ETL /ELT using market latest technology with minimum guidance • Good in DW concepts, Complex SQL and communication • Works with multiple stakeholders and workstreams to provide expertise in data management • Independently owns the assigned task • Agile execution methodology • Respond to client questions around the data and insights • Years of Experience : 4-8

Skills Required

  • Azure Databricks experience
  • Azure Data Factory (ADF) experience
  • Designing ETL/ELT pipelines
  • Data Warehouse concepts knowledge
  • Complex SQL skills
  • Strong communication and stakeholder management
  • Experience working in Agile methodology
  • 4-8 years of relevant experience
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The Company
HQ: Westerville, OH
5,000 Employees
Year Founded: 1999

What We Do

Indium is an AI-driven digital engineering company that helps enterprises build, scale, and innovate with cutting-edge technology. We specialize in custom solutions, ensuring every engagement is tailored to business needs with a relentless customer-first approach. Our expertise spans Generative AI, Product Engineering, Intelligent Automation, Data & AI, Quality Engineering, and Gaming, delivering high-impact solutions that drive real business impact. With 5000+ associates globally, we partner with Fortune 500, Global 2000, and leading technology firms across Financial Services, Healthcare, Manufacturing, Retail, and Technology—driving impact in North America, India, the UK, Singapore, Australia, and Japan to keep businesses ahead in an AI-first world.

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