Data Engineer at Virtusa
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Jun 28, 2026
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Jul 20, 2026
What this job asks for AI summary
A data engineering role focused on designing and building ETL pipelines across platforms such as Spark, Hadoop, and AWS, with an emphasis on data warehouse schema design and aggregating data at scale from multiple source systems. The work spans gathering requirements, writing technical specifications, and supporting large data volumes. Suited to someone with substantial end-to-end data warehouse experience, including hands-on work with high-volume datasets.
Senior level · 6+ years · Bangalore, India · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $139,500 (middle half $109,370–$169,290).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This role is based in Bangalore, India (IN-KA-Bangalore per the posting); US compensation benchmarks do not apply.
The title carries no seniority level word, so advertised seniority is Unspecified; however, the 6+ years of end-to-end data warehouse experience and 4TB+ project scale requirements support a Senior classification.
The degree requirement states 'Bachelor's or Master's degree … or equivalent work experience', so no formal degree is hard-gated.
Hadoop M/R, Pig, Hive, ML/LLM/GenAI, Tableau/QlikSense, and Informatica/OWB/ODI all appear under the explicit 'Good to have' section and are marked preferred accordingly.
The role is classified as 15-1243 (Database Architects) given its primary focus on data warehouse design, dimensional modeling, and ETL pipeline architecture; 15-1252 (Software Developers) is a plausible alternative given the emphasis on pipeline development with Spark.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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