Senior Snowflake at Virtusa
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Jul 1, 2026
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Jul 20, 2026
What this job asks for AI summary
A data engineering role focused on building and maintaining pipelines and ETL processes on AWS and Snowflake, with transformation workflows handled through DBT. The position involves writing Python code, optimizing data solutions for performance, and working alongside data scientists and analysts to meet data requirements. It suits an experienced data engineer with a background in data warehousing and cloud platforms.
Senior level · National · Bachelor's required · 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 $142,568 (middle half $111,775–$173,013).
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 (7)
This role is located in Chennai, Tamil Nadu, India (IN-TN-Chennai) — it is not a US-based position. US compensation and labor-market benchmarks will not apply.
The job title is simply 'Senior Snowflake', which is an unusual/incomplete title; the full role is clearly a Senior Data Engineer centered on Snowflake, AWS, and dbt.
The degree requirement states 'Bachelor's or Master's degree'; Bachelor's is treated as the minimum hard gate.
No total years of experience are specified in the posting.
The posting lists no compensation figures.
The role is classified as a data pipeline/warehouse architect (dbt + Snowflake + ETL focus) rather than a general software developer, though the boundary is close — hence the alternate SOC of Software Developers.
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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