Senior Data Engineer( Snowflake , Azure)
3Pillar · India
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Jul 21, 2026
India
Jul 23, 2026
What this job asks for AI summary
A senior data engineering role focused on designing, building, and maintaining batch and real-time data pipelines in production environments. The work spans ETL/ELT development, cloud data warehouse management, and data lake solutions, with day-to-day responsibilities including pipeline automation, data quality assurance, and mentoring junior engineers. Suited to experienced engineers with strong Python and SQL skills and hands-on cloud platform exposure.
Senior level · 5+ years · Remote
“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
Roughly 670 people nationally plausibly meet what this posting asks for (data scientists). range 280–1,450
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
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)
The posting is remote-first and lists teams across North America, Europe, Latin America, and Asia with no specific city or metro stated; no CBSA could be determined.
The AWS-specific services (S3, Lambda, EMR, AWS Glue, Athena, RDS, Redshift, EC2, IAM) and Azure equivalents (ADF, Azure Synapse, ADLS Gen2, Azure SQL DB) are listed under Minimum Qualifications as an OR construct — candidates are expected to know one cloud's stack deeply. The AWS services are extracted individually as required, with Azure counterparts noted in alternatives where applicable; Azure Synapse is also captured separately as preferred since it appears in both the cloud DW list and the Azure services block.
The data visualization tools (Power BI, Tableau, Amazon QuickSight) are listed under Minimum Qualifications but framed with 'like', indicating the specific tool is interchangeable; captured as required with alternatives.
Big Data technologies (Spark, MapReduce, Hadoop, Hive) are listed under Minimum Qualifications with 'like', so the capability is a hard gate but the specific tool is interchangeable; Spark is used as the primary with the others as alternatives.
The 'Additional Experience' section heading signals optional/preferred skills; Fivetran/Stitch/Matillion, NoSQL databases, machine learning familiarity, and Java/Scala are all marked preferred accordingly.
No compensation range was provided in the posting.
SOC classification is Medium confidence: the role is primarily a data pipeline/ETL builder (15-1243 Database Architects) but has meaningful overlap with data engineering analytics work (15-2031).
Read the full posting
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