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DE&A - Core - Cloud Data Engineering - Databricks

Zensar Technologies · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · Python · SQL · Power BI · Azure Data Factory · 1 day ago
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Salary
≈ $18k – $43k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026. Zensar Technologies scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Zensar Technologies

Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.
zensar.com · HQ: Pune, India · IT Outsourcing & Dedicated Teams · IT Consulting & Digital Transformation · 1001-5000 employees · Est. 1991
Tech stack of Zensar Technologies

The role is responsible for supporting end-to-end data and reporting services across the

analytics landscape, including Power BI dashboards, Azure Databricks data processing

and transformation pipelines, Azure SQL/Synapse data warehouses, minor

enhancements and associated Azure data platform components.

Mandatory

  • 8+ years of experience in BI, Data Engineering, or Analytics Platform Support.
  • Minimum 5 years of hands-on experience supporting Azure Databricks environments.
  • Strong PySpark development and troubleshooting experience.
  • Experience supporting enterprise-wide analytics and reporting platforms.
  • Strong SQL troubleshooting and data investigation skills.
  • Experience supporting Power BI production environments.
  • Experience working in a production support or IT operations environment.

We are looking for a hands-on site reliability engineer with strong expertise across the entire analytics value chain:

Source Systems → Azure Data Factory → Azure Data Lake → Databricks (PySpark

Transformations) → Azure SQL/Synapse → Power BI Dashboards & MI Reporting

The ideal candidate should be equally comfortable investigating a failed dashboard refresh,

troubleshooting a Databricks job, analysing SQL data discrepancies, or resolving an end-to-end data

pipeline failure.

Mandatory

  • 8+ years of experience in BI, Data Engineering, or Analytics Platform Support.
  • Minimum 5 years of hands-on experience supporting Azure Databricks environments.
  • Strong PySpark development and troubleshooting experience.
  • Experience supporting enterprise-wide analytics and reporting platforms.
  • Strong SQL troubleshooting and data investigation skills.
  • Experience supporting Power BI production environments.
  • Experience working in a production support or IT operations environment.
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