Indiaremote

Salary
Posted
Jul 26, 2026
Location
India
Last confirmed open
Jul 28, 2026

What this job asks for AI summary

This Data Engineer role centers on building and maintaining ETL/ELT pipelines on AWS and Snowflake, migrating BI workloads from existing platforms into Snowflake, and ensuring reliable connectivity between Snowflake and BI tools such as Power BI, Tableau, or Looker. The position suits a hands-on data engineer comfortable with Snowflake data modeling, performance optimization, and core AWS services.

Mid level

Quick apply — this platform usually takes a CV and a few fields.

Must have (8)
SnowflakeSQLAWSLambdaIAMETL/ELTJDBC or OdbcPower BI, Tableau or Looker
Nice to have (3)
SnowPro Core CertificationPython or SparkAirflow, Databricks or Terraform

“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 gives you an edge
IAM7%

Rare in this occupation — lead with these, and say what you built with them.

What won't set you apart
SQL90%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 (5)

No work location or geography is specified in the posting; 3Pillar Global operates across multiple regions (North America, Europe, Latin America, Asia), so the CBSA and remote status could not be determined.

No overall years-of-experience requirement is given.

The BI tool requirement (Power BI / Tableau / Looker) is listed in the responsibilities section as interchangeable options; all three are captured as alternatives under a single skill.

Airflow, Databricks, and Terraform appear together under 'Good to Have' as interchangeable examples; they are captured as alternatives of a single preferred skill, though in practice they serve different functions — note this if evaluating candidates.

Python and PySpark are listed together under 'Good to Have' and are captured as alternatives of a single preferred skill.

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