Senior Data Engineer (AWS, Databricks & AI) at Virtusa
Reo, IN
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Jun 28, 2026
Reo, IN
Jul 20, 2026
What this job asks for AI summary
A senior-level data engineering role focused on designing and building cloud-based data pipelines and AI solutions on AWS, using Databricks, Python, and Spark. The position sits within an Agile/DevOps delivery model and involves working in large, complex data environments with quality and compliance considerations. Databricks certification is required, and the role suits an experienced engineer with at least six years in data or software engineering.
Senior level · 6+ years · Gurgaon, HR, India · Full-time
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 Gurgaon, India (Haryana), so US-market compensation and candidate-pool benchmarks do not apply.
The degree requirement states 'Bachelor's degree or equivalent,' so equivalent experience is accepted — no formal degree is hard-gated.
Databricks Certification is listed in the requirements section alongside technical skills, treating it as a hard gate; however, some postings list certifications as aspirational — flag this if screening reveals otherwise.
DevOps experience appears in the requirements section but is framed as contextual ('working within a DevOps delivery model') rather than a specific technology gate, so it is marked preferred.
The role sits between data pipeline/architecture (15-1243) and software/data engineering (15-1252); the explicit 'Data Engineer' title and pipeline-building focus tips the classification toward 15-1243, but 15-1252 is a close runner-up given the AI/ML and software engineering scope.
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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