Back
Mid-level generalist data role in Mumbai with broad platform requirements increases applicant competition.
Core data engineering skills are transferable, but Microsoft Fabric and Power BI focus increases domain specificity.
Explicit 5-10 years and mandatory platform stack (Fabric, Databricks, Power BI, Python) makes filtering strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own the design and maintenance of data layers using Microsoft Fabric and Databricks to optimize performance and cost.
Translate business requirements into analytical KPIs and collaborate on data transformation and semantic model design for consistent metrics across reports.
Develop Power BI dashboards, automate reporting via Python scripts and CI/CD, and support self-service and AI-driven analytics enablement.
5-10 years of experience as a Data Engineer and Analyst with a strong engineering mindset.
Proficiency in Azure Data Platform technologies including Microsoft Fabric, Spark, Python, Power BI, and SQL.
Strong programming skills in Python and SQL, with experience in developing executive-level reporting or dashboards.
Experience in data warehousing, data modeling, and data visualization.
Experienced in end-to-end data engineering and analytics implementation with a focus on enabling teams via documentation and playbooks.
Comfortable working across technical design, stakeholder engagement, and operational automation in a cloud-focused environment (Azure).
Able to bridge business and technical domains to drive consistent, scalable analytics solutions and foster a data-centric culture.