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Interesting Job Opportunity: Draup - Big Data Engineer - Python/Apache Spark

DraupBengaluru, Karnataka, IndiaPosted 21 May 2026

Draup is hiring a Big Data Engineer in Bengaluru to design and build scalable data pipelines and storage architectures. The role focuses on developing generic, reusable solutions using Python and Apache Spark to handle large-scale data transformations. Candidates must have experience with ETL/ELT, distributed systems, and modern data warehousing techniques. The engineer will collaborate closely with data science and product teams to deliver impactful data products.

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Experience

2-4 years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

Draup is hiring a Big Data Engineer in Bengaluru to design and build scalable data pipelines and storage architectures. The role focuses on developing generic, reusable solutions using Python and Apache Spark to handle large-scale data transformations. Candidates must have experience with ETL/ELT, distributed systems, and modern data warehousing techniques. The engineer will collaborate closely with data science and product teams to deliver impactful data products.

TAL's take

Quality 55/1005/5 clarityTier 2 company

Solid mid-level engineering role with clear, well-defined technical requirements and responsibilities in the data infrastructure space.

The JD provides a very clear scope of work, technical requirements, and team context without being overly broad.

Salaries at Draup

27.5 LPA average

Based on 7 Grapevine salary entries for Draup.

View all salaries

Engineering

0 - 2 years | Associate

12 LPA average

Range: 12 - 12 LPA

Engineering

6 - 8 years

27 LPA average

Range: 27 - 27 LPA

Other roles

2 - 4 years | Associate

5 LPA average

Range: 5 - 5 LPA

Consulting

4 - 6 years

14 LPA average

Range: 11 - 17 LPA

Must haves

  • Proficient programming experience in Python
  • Proficiency in Apache Spark (PySpark)
  • Experience developing ETL and ELT solutions
  • Understanding of relational and NoSQL datastores
  • Conceptual knowledge of MapReduce, HDFS, and Amazon S3

Tools and skills

pythonapache sparkpysparketleltrelational databasesnosqlmapreducehdfsamazon s3

Nice to have: parquet, orc, avro, sequence files, yarn, spark standalone, mesos, kubernetes, data structures, algorithms, aws emr, aws lambda, aws glue, airflow, jenkins.

About the company

Unfamiliar company to global Tier 1 lists, default to mid-tier startup status.

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