HP

Data Engineer

About this role

This Data Engineer role at HP in Bengaluru covers collecting and preparing data, including data for machine learning models. The engineer works on parts of data pipelines, repositories and models for structured and unstructured data. They also build analytics models to address business problems, and put in data quality checks and governance. Work is done as part of a project team of data professionals, with business stakeholders. It suits someone with a computer science or related degree and about 2-4 years in data work.

HP is hiring for Data Engineer, a full-time role based in Bengaluru.

Who can apply: 2–4 years, or an advanced degree with little experience. Skills: SQL, Python, Spark, Kafka, Hadoop, AWS, Azure.

Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.

What you'll do

  • Design limited enhancements and changes to data pipelines, repositories or models
  • Write and execute portions of test plans and documentation, and debug code
  • Work with a project team to deliver reliable, cost-effective data solutions
  • Work with business stakeholders to identify problems that analytics models can address
  • Translate business requirements into conceptual, logical and physical data models
  • Implement data quality checks, validation and governance processes

What you need

  • Four-year or graduate degree in Computer Science, IT, Software Engineering, Statistics/Mathematics or a related field, or equivalent work experience
  • Typically 2-4 years of experience in data analytics, data engineering or data modeling, or an advanced degree with little experience
  • Skills in SQL, Python and data pipelines/ETL
  • Familiarity with big data tools such as Spark, Hadoop and Kafka
  • Cloud experience such as AWS or Azure
Location
Bengaluru
Work mode
See listing
Experience
2–4 years, or an advanced degree with little experience
Pay
₹10–18 LPA (Est.)
Type
Full-time job, Developer
Added
15 October 2026

Skills

  • SQL
  • Python
  • Spark
  • Kafka
  • Hadoop
  • AWS
  • Azure

"Est." = Hirastra's estimate based on market data, not an official figure.

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