About the role
A data engineering and BI team in Sector 62, Noida, is hiring a Senior Power BI Developer to take ownership of reporting infrastructure that several business units depend on daily. This is a full-time, on-site position, and the person hired will work directly with data pipelines, source systems, and the dashboards that leadership checks every morning before a stand-up.
The company builds and maintains internal reporting for teams spread across finance, operations, and sales, and the reports this role produces get used to make real decisions, not just archived after a quarterly review. Right now, the reporting stack sits on SQL Server for the warehouse, with Power BI as the front end and a handful of scheduled refreshes that this person will be responsible for keeping healthy.
The last person in this seat moved into a data platform lead role after a couple of years, and the team is generally open to that kind of growth for someone who wants it, though there's no fixed timeline. Reporting sits within a wider data engineering group of six people, and this hire will work most closely with two data analysts who currently build ad hoc reports whenever the backlog gets too long for them to keep up with on their own.
The immediate priority for whoever takes this role is cleaning up a set of finance dashboards that have accumulated duct-tape fixes over the past year, then rebuilding the underlying data model so future changes don't require touching a dozen reports at once.
What you'll do
- Design and maintain data pipelines that move information from source systems into the reporting layer
- Integrate data from multiple systems, including CRM, ERP, and internal transactional databases, into a single reliable structure
- Build dashboards and reports in Power BI for finance, operations, and sales teams, translating their requests into working visuals
- Monitor data quality across pipelines and flag inconsistencies before they reach a report a director is about to open
- Write and optimize DAX measures and SQL queries as report requirements grow more complex
- Sit in on requirement discussions with business stakeholders and push back, where needed, on requests that would slow down refresh times without adding real value
What you'll bring
This role requires a bachelor's degree as the entry point, most often in computer science or IT, though other technical majors are fine as well. Eight years of hands-on experience working with large, production datasets is required, ideally including several years spent specifically inside Power BI environments rather than general BI tools. Naukri Mitra has seen candidates come from data engineering backgrounds try to move into a role like this, and the transition works fine as long as the SQL and data modeling fundamentals are solid.
Comfort with large, real-world datasets matters more here than academic exposure to clean sample data. The role touches messy production data regularly, and reports have to hold up even when the underlying tables don't behave like a textbook example. A candidate who has spent time fixing a broken pipeline at 9 pm before a morning report deadline will recognize a lot of this job on day one.
- Power BI, including report and workspace administration
- DAX for calculated measures and complex logic
- SQL for querying and transforming source data
- Data modeling, particularly star schema design for reporting layers
- Dashboard design with an eye toward what a business user will actually read, not just what looks good in a demo
Good to have
None of the following are required, but they typically strengthen an application. Experience with Power Query for data transformation is immediately useful. Familiarity with Azure Data Factory or a similar orchestration tool helps when pipelines need to scale past a handful of manual refreshes. A working knowledge of Python for data preparation and prior exposure to Tabular Editor or DAX Studio for performance tuning both come up often enough in this kind of work that they're worth mentioning if you have them. A Microsoft PL-300 certification isn't required, but reviewers do tend to notice it on a resume, especially for candidates whose day-to-day experience skews more toward data engineering than reporting.
Compensation
This role pays up to ₹1,25,000 per month, based on experience and how the interview rounds go, which puts it toward the upper end of Power BI developer salaries in Noida at the senior level. It's one of several current openings in the area aimed specifically at experienced professionals rather than early-career candidates, and the pay band reflects that.
Benefits
- Health insurance coverage
- Paid time off
- Performance-linked bonuses tied to reporting accuracy and delivery timelines
- On-site cafeteria at the Sector 62 office
- Cab or commute support for the daily on-site schedule
None of these are unusual for a role at this level, but candidates from smaller companies sometimes ask about them directly during the interview, so it's worth stating them plainly up upfront rather than leaving them for a later round.
Where and how you'll work
The role is based on-site at the Sector 62 office in Noida, Uttar Pradesh, and isn't set up as a remote or hybrid position. Reporting cycles in this team tend to cluster around month-end and quarter-end, when dashboard requests pick up, and turnaround expectations tighten compared to the rest of the month. Outside those windows, the pace is steadier and mostly driven by whatever the business teams are working through that week.
How to apply
Interested candidates should submit a resume along with two or three examples of dashboards or reports they've built, ideally with a short note on the business problem each one solved. A screenshot works if the original file can't be shared for confidentiality reasons. Shortlisted applicants will go through a technical round covering SQL and DAX, followed by a conversation with the hiring manager about the day-to-day reporting work this team handles. Most candidates hear back within a week of the technical round either way. There isn't a fixed number of rounds for every applicant; someone with strong, obvious DAX skills in their portfolio might skip straight to the manager conversation, while someone whose experience is harder to judge from a resume alone may get an extra working session to review a sample dataset together.
