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Associate Data Warehouse Developer

📍 Mumbai 🏷️ Data Engineering & BI 💰 ₹64,000 / month
Mumbai has an opening for an Associate Data Warehouse Developer, on-site at Bandra Kurla Complex, full-time. It's an entry- to mid-level position on a data engineering and BI team. The work centers on keeping data moving cleanly between systems and making sure the numbers business teams rely on actually hold up. That covers pipeline maintenance, pulling data from multiple sources, and building the reports that people across the company check regularly. Most of the source systems feeding into this pipeline weren't designed to communicate cleanly, so a good part of the job is reconciling formats and catching mismatches before they turn into a bad number on someone's dashboard. It's steady work rather than dramatic, and the people who do well in roles like this tend to be the ones who notice small inconsistencies before they become big problems.

Core responsibilities

  • Build and maintain data pipelines that move information between systems on schedule
  • Pull together data from multiple source systems into a consistent structure
  • Build dashboards and reports that business teams use for day-to-day decisions
  • Check data quality regularly and fix inconsistencies before they reach a report
None of this is glamorous, and a fair amount of the job is quiet troubleshooting. A report that looked right last week can start showing incorrect numbers because a source system changed a field upstream, and part of the role is catching that before a business team notices it on their own. It's the kind of work that rarely gets praised when it goes right and is immediately noticed when it doesn't.

Education and experience

A bachelor's degree is required, and computer science or information technology is the usual background for this kind of role, though a closely related technical degree would also work. The employer is asking for 18 months of relevant experience. That's not a lot, and it fits the associate level this posting is pitched at. Someone finishing up their first data engineering or BI role elsewhere would be a reasonable fit here. What matters more than the exact 18-month figure is how that time was spent. Someone who spent their first job purely writing SQL queries on request will need a bit more ramp-up on the pipeline and modeling side than someone who's already touched an ETL tool end to end, even if both candidates list the same total months on paper.

Skills needed

SQL is non-negotiable for this one. Beyond that, the role requires solid grounding in data warehousing concepts, comfort with ETL tools, and an understanding of dimensional modeling, since most reporting work depends on data being well structured before it reaches a dashboard. A few additional skills would be helpful without being required: exposure to a cloud data warehouse platform like Snowflake or Redshift, some Python for scripting pipelines, and hands-on time with a BI tool such as Power BI or Tableau. Candidates who've used a workflow orchestration tool like Airflow tend to pick up this environment more quickly, since scheduling and dependency management operate similarly across most modern data stacks.

What comes with the role

  • Health insurance
  • Provident fund contributions
  • Paid time off
  • Cab or commute support
  • On-site cafeteria access at the BKC office
Naukri Mitra has generally seen associate-level data roles in Mumbai settle around this kind of package, with the provident fund contribution being the piece candidates from other cities sometimes overlook when comparing offers.

Working at Bandra Kurla Complex

This is a fully on-site role, based in BKC, one of Mumbai's denser commercial districts. The area is well served by public transport, which matters for a role that doesn't offer remote flexibility. Anyone commuting from the suburbs should factor in BKC's traffic patterns during peak hours, since the district gets congested regardless of which direction you're coming from. The office sits close enough to both the Western and Central rail lines that most candidates already living in Mumbai's suburbs won't need to relocate for this one. That said, BKC itself skews toward large offices and financial firms rather than residential buildings, so don't expect to find much housing within walking distance of the office. The pay for this data warehouse developer job in Mumbai goes up to ₹64,000 a month, which is in line with what associate-level data engineering roles typically pay in the city. It's not senior-level compensation, and it isn't meant to be. It reflects the 18-month experience bar and gives room to grow as the role and the person in it both mature.

Applying

A resume that lists specific tools used rather than just "data engineering experience" will move faster through screening. Naming the ETL tool, the database platform, and whatever reporting tool you've built dashboards in gives the hiring team something concrete to match against the role. A short description of one pipeline you built or maintained, including what it fed into and how often it ran, is more useful on a resume than a long list of buzzwords. People actively searching data warehouse developer jobs near me in Mumbai should know this one is on-site only, so location matters more here than it would for a hybrid or remote posting. If you're outside the city and weighing a move, BKC and its surrounding neighborhoods are worth researching before applying, since rent in that pocket runs higher than in many other parts of Mumbai. For anyone browsing data warehouse developer job openings in Mumbai more broadly, this one stands out mainly for the BI and dashboarding component, which not every data engineering posting in the city includes. Interviews for this role usually include a SQL exercise and a walkthrough of a data pipeline or dashboard you've built before, so bring a specific project you can describe in detail rather than a general summary of your experience. Being able to explain a decision you made about how to model the data, and why, tends to carry more weight in these interviews than reciting a list of tools.
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