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DATA ENGINEER - DATABRICKS

Impact AnalyticsBengaluru, Karnataka, IndiaPosted 18 May 2026

Impact Analytics is a B2B SaaS company specializing in AI-driven predictive analytics for retail and CPG. The Data Engineer will join the data team to build, optimize, and maintain scalable end-to-end data pipeline architectures. Candidates must have hands-on experience with Databricks, Python, and SQL, along with expertise in ETL optimization and data modeling. The role involves collaboration with cross-functional teams including software developers and data scientists to support critical business initiatives.

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Experience

1+ years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Impact Analytics is a B2B SaaS company specializing in AI-driven predictive analytics for retail and CPG. The Data Engineer will join the data team to build, optimize, and maintain scalable end-to-end data pipeline architectures. Candidates must have hands-on experience with Databricks, Python, and SQL, along with expertise in ETL optimization and data modeling. The role involves collaboration with cross-functional teams including software developers and data scientists to support critical business initiatives.

TAL's take

Quality 65/1005/5 clarityTier 2 company

Solid established SaaS company with strong accolades and a clearly defined data engineering role.

The JD clearly outlines the core responsibilities, specific stack, and team collaborative context.

Salaries at Impact Analytics

24.8 LPA average

Based on 25 Grapevine salary entries for Impact Analytics.

View all salaries

Engineering

0 - 2 years | L1

10 LPA average

Range: 10 - 10 LPA

Engineering

4 - 6 years | None

15 LPA average

Range: 6 - 22 LPA

Engineering

6 - 8 years | L4

36 LPA average

Range: 35 - 40 LPA

Sales

0 - 2 years | L1

10 LPA average

Range: 10 - 10 LPA

Must haves

  • 1+ years of relevant experience as a Data Engineer
  • Hands-on experience in Databricks
  • Advanced SQL knowledge and Data-Modelling
  • Experience in developing and optimizing ETL pipelines
  • Strong knowledge in Python

Tools and skills

databrickspythonsqletllinux

Nice to have: hadoop, spark, hive, postgresql, cassandra.

About the company

Established SaaS company with significant growth, funding, and industry recognition but not a top-tier household tech name.

Posts mentioning Impact Analytics