World Wide Technology
Contract_Data Engineer (Databricks)_Hybrid(Devarabeesanahalli)
Skills
7 days ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
14 October 2026
What they need
I'm Ishu from World Wide Technology (WWT), a 36-year-old global technology solutions provider specializing in systems integration, Infra-Cloud security, application development, AI Services, and supply chain solutions. With a workforce of 10,000+ employees and strategic partnerships with leading OEMs such as Cisco, Dell EMC, Microsoft, and NVIDIA, WWT delivers cutting-edge infrastructure, cloud, security, and custom application services to clients across 35 countries**.** Our Advanced Technology Centers (ATCs)lab setup environments spanning over one million square feet of world-class integration and distribution space enable us to deliver unmatched value and innovation at scale. Recognized as one of the Best Places to Work by Glassdoor and Fortune for 14 consecutive years, WWT is also ranked #6 on India’s Great Place to Work list for 2025.
World Wide Technology Holding Co, LLC. (WWT) currently has an exciting opportunity available for the role ofAI Engineer. If you are interested in this opportunity, please respond with an updated resume and the required details at the bottom of this email.
This is a contract Role & we use a global payroll partner to manage payroll for all contract opportunities with us. A proper background verification of past employments, criminal checks would be done for onboarding to any opportunity with WWT.
Were looking for an experienced **Databricks Data Engineer** with strong hands-on production experience in building scalable data pipelines and analytics-ready data models.
**Key Skills:**
- Databricks
- PySpark & Advanced SQL
- Delta Lake / Delta Live Tables / Lakeflow
- Unity Catalog & governance
- Databricks Workflows / Jobs
- Data modeling & Gold-layer pipelines
- Data Quality & automated testing
- Git / CI-CD / Databricks Asset Bundles
- Performance & cost optimization
**Good to have:**
Genie Spaces, MLflow, LLM/Agent evaluation, RAG, Pharma/Life Sciences data, GxP/regulated environments.
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