Salary
Posted
Jul 1, 2026
Location
Last confirmed open
Jul 20, 2026

What this job asks for AI summary

A data engineering role focused on building and maintaining AWS-based data pipelines, working with Databricks, Snowflake, Apache Airflow, Python, and Spark. The position suits someone with 3–5 years of relevant experience who can operate across both Agile and Waterfall environments. Prior background in the pharmaceutical or healthcare IT sector, along with experience in quality and compliance settings, is expected.

Mid level · 3+ years · Chennai, TN (India) · Full-time

Must have (6)
AWS, Azure or GCPDatabricks · 3+ yrsSnowflake · 3+ yrsApache Airflow · 3+ yrsPython · 3+ yrsSpark · 3+ yrs

“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

What won't set you apart
Python55%Databricks42%Snowflake42%

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 (6)

This role is located in Chennai, India (Tamil Nadu), not in the United States — US compensation and labor-market benchmarks do not apply.

The posting groups Databricks, Snowflake Workflows, and Apache Airflow together with a single '3-5 years' range; the same range is stated separately for Python and Spark. The overall years minimum is set to 3 (the lower bound of the stated range).

The role is classified as 15-1243 (Database Architects) given its focus on data pipeline and warehouse tooling (Databricks, Snowflake, Airflow), but 15-1252 (Software Developers) is a reasonable alternative given the emphasis on Python/Spark development.

Pharmaceutical/Healthcare industry experience and quality/compliance environment experience are called out as requirements in the posting but name no specific technology or tool, so they are not captured as skills per extraction rules.

No compensation figures are provided in the posting.

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.

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