Data Specialist Primary Skills Databricks Engineer Role Overview We are seeking a highly skilled Databricks Engineer to design, develop, and optimize scalable data engineering and analytics solutions on the Databricks Lakehouse Platform. The ideal candidate will possess strong expertise in Databricks, PySpark,
We are looking for a Senior Databricks Data Engineer with strong expertise in Databricks, cloud data architecture, data engineering, and healthcare data. The ideal candidate will be responsible for designing scalable, secure, and high-performance data platforms supporting healthcare analytics and data integration. The candidate
Job Description: Data Engineer (Azure Databricks & PySpark) Position: Data Engineer Experience: 3 to 12 years Primary Skills: Azure Databricks, PySpark, SQL Secondary Skills: ADF (Azure Data Factory) Location: Bengaluru/Hyderabad Mode of Work: Hybrid Notice Period: 0 to 30 Days Key
Job Description: Data Engineer (Azure Databricks & PySpark) Position: Data Engineer Experience: 5 to 8 years Primary Skills: Azure Databricks, PySpark, SQL (M) Secondary Skills: ADF (Azure Data Factory) (M) Project Exposure: Cloud migration (M) Location: Bengaluru/Hyderabad Mode of Work: Hybrid
Job Description: Data Engineer (Azure Databricks & PySpark) Position: Data Engineer Experience: 6 to 8 years Primary Skills: Azure Databricks, PySpark, SQL (M) Secondary Skills: ADF (Azure Data Factory) (M) Project Exposure: Cloud migration (M) Location: Bengaluru/Hyderabad Mode of Work: Hybrid
Job Description: Data Engineer (Azure Databricks & PySpark) Position: Data Engineer Experience: 9 to 12 years Primary Skills: Azure Databricks, PySpark, SQL (M) Secondary Skills: ADF (Azure Data Factory) (M) Project Exposure: Cloud migration (M) Location: Bengaluru/Hyderabad Mode of Work: Hybrid
Company:Qualcomm India Private Limited Job Area:Information Technology Group, Information Technology Group IT Data Engineer General Summary: We are looking for a Senior Data Engineer to design, build, and operate a modern, scalable data platform with Databricks Lakehouse as a core
Where you’ll work: Bangalore, KA, IN Engineering at GoTo We’re trailblazers in remote work technology—building powerful, flexible solutions that empower everyone to live their best life, both at work and beyond. With us, you’ll have the
Position Overview We are looking for a Data Engineer with hands-on experience in building scalable data pipelines and data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have strong expertise in Python, PySpark, SQL, Databricks, AWS, and REST
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the
Join us to engineer a trusted data platform that helps protect customers and the firm while enabling smarter, faster decisions, you’ll grow your skills alongside experienced engineers, collaborate across teams, and ship high-impact software that scales. Job
Area(s) of responsibility Role Summary We are looking for a highly skilled Databricks Data Engineer with strong hands on expertise in Databricks, PySpark, ADF, and SQL. The candidate will be responsible for architecting, developing, and optimizing modern data platforms and
We are hiring a Data Architect to lead a strategic enterprise data modernization initiative for platform using Medallion architecture AWS Databricks. The role will define target-state architecture, establish enterprise data governance frameworks, implement CI/CD best practices for data platforms, and build
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the
Location: Gurugram,Haryana,India Data Engineering We are seeking a highly skilled and experienced Data Engineering with strong expertise in Microsoft Azure data services, enterprise data integration, and modern data lake architectures. In this role, you will lead the design, development, and optimization
Area(s) of responsibility Key Responsibilities - Design and implement GenAI and Agentic AI solutions using Databricks Genie, Databricks Agent Bricks, Mosaic AI (model training, evaluation, prompt engineering, RAG) - Experience Build LLM-powered use cases - Design and build
Job Title: Senior Data Engineer – Databricks experienced Purpose We are seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Azure, and modern data engineering practices to design, build, and optimize scalable data platforms and pipelines. The ideal candidate
About the role: The Insights and Product Analytics team (IPA) organization is responsible for business performance of all research products and performs analysis related to all aspects of Gartner’s Business and Technology Insights business unit. The
Position Overview We are looking for a Data Engineer with hands-on experience in building scalable data pipelines and data engineering solutions on the Databricks Lakehouse Platform. The ideal candidate should have strong expertise in Python, PySpark, SQL, Databricks, AWS, and REST
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