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Location: Pune, India
Job Requirements Business Intelligence (BI) Engineer Role Overview Develop and support Power BI reporting solutions as part of Tableau to Power BI migration projects. Work closely with senior team members to build dashboards, validate data, and support report migration. Key Responsibilities · Develop Power BI reports and dashboards. · Create SQL queries and validate reporting data. · Assist in migrating Tableau reports to Power BI. · Develop DAX measures and Power Query transformations. · Perform testing, defect fixes, and documentation. · Collaborate with leads and business users. Required Qualifications · 2-5 years of experience in Power BI and SQL. · Hands-on experience with DAX and Power Query. · Understanding data modeling fundamentals. · Tableau knowledge is good to have. · Good communication and analytical skills. Preferred Qualifications · Prior Experience of working in BI Tool migration project · Exposure to Microsoft Fabric or cloud environments like Azure, AWS, GCP · Experience working in Agile projects.
Job data: Headcount Labs (headcountlabs.com), ODbL 1.0. The job description belongs to the employer. Location data © OpenStreetMap contributors and Overture Maps.
Most IT Jobs posts in Pune ask for 3–6 years of experience (43% of 913 that say).
From live job posts on CoreHRx, updated 7 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹15L – ₹25L a year (typical for IT Jobs in Pune, 56 posts).
The post asks for 2–5 Yrs experience.
In Pune.
It is a full time job.
Interview preparation · 60 questions
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
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