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Data Engineer-Data Platforms-AWS

IBMPune, Maharashtra, IndiaPosted 20 May 2026

IBM is seeking a Data Engineer to join their Consulting Client Innovation Center in Pune. You will be responsible for developing, maintaining, and testing big data solutions using Spark, Python, and Scala on Azure cloud platforms. The role involves building data pipelines for ingestion and processing, as well as developing streaming solutions. Success in this role requires strong experience in big data technologies and the Azure ecosystem.

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Experience

4+ years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

IBM is seeking a Data Engineer to join their Consulting Client Innovation Center in Pune. You will be responsible for developing, maintaining, and testing big data solutions using Spark, Python, and Scala on Azure cloud platforms. The role involves building data pipelines for ingestion and processing, as well as developing streaming solutions. Success in this role requires strong experience in big data technologies and the Azure ecosystem.

TAL's take

Quality 60/1004/5 clarityTier 2 company

Solid tier-2 role at a large stable company with clearly defined big data engineering scope, though standard for a consulting delivery center.

Clear and coherent responsibilities aligned with the data engineering role, specific tech stack provided.

Salaries at IBM

19.2 LPA average

Based on 1,727 Grapevine salary entries for IBM.

View all salaries

Engineering

0 - 2 years | 6A

8 LPA average

Range: 3 - 24 LPA

Engineering

2 - 4 years | 6A

12 LPA average

Range: 5 - 27 LPA

Engineering

4 - 6 years | 6B

21 LPA average

Range: 4 - 95 LPA

Engineering

6 - 8 years | 7A

19 LPA average

Range: 2 - 35 LPA

Must haves

  • 4+ years of experience in Big Data technologies
  • Extensive experience in Spark, Python or Scala
  • 3 years of experience on Cloud Data Platforms on Azure
  • Experience in DataBricks, Azure HDInsight, Azure Data Factory, Synapse, SQL Server
  • Good to excellent SQL skills
  • Exposure to streaming solutions and message brokers like Kafka

Tools and skills

sparkpythonscalahadoopazurepysparkhivehbasedatabricksazure hdinsightazure data factorysynapsesql serversqlkafka

Nice to have: azure certification, databricks certification, cloudera spark certification.

About the company

IBM is a large global enterprise IT services company but sits outside the primary tier-1 product-focused tech companies for core engineering.

Posts mentioning IBM