Data and Analytics Engineer , Enablement
Zensar Technologies (company site, opens in a new tab)5–10 yrsMumbaiOn-siteDirect career pageEst. 12–22 LPA
Posted on 11 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain data layers in Microsoft Fabric and Databricks optimizing performance and cost.
- Define and implement semantic models and star schemas for Power BI ensuring metric consistency across dashboards.
- Develop automated scripts and Power BI integrations; enable self-service analytics with documentation and playbooks, including AI-driven analytics support.
Minimum Requirements
- 5-10 years of experience as Data Engineer and Analyst with strong engineering skills.
- Proficiency in Azure Data Platform technologies: Microsoft Fabric, Spark, Python, Power BI, and SQL.
- Experience in translating business requirements into data models, KPIs, and technical design artifacts.
- Strong programming skills in Python and SQL; experience developing executive-level reports/dashboards.
Ideal Candidate Profile
- Experienced in data engineering and analytics with a focus on Azure and Microsoft Fabric ecosystem.
- Skilled at bridging technical data platforms with business analytics needs including enabling self-service and AI-driven analytics.
- Comfortable working in Agile environments, contributing to governance, documentation, and community enablement activities.