Data Engineer, HP

Data Engineer
Karnataka, India, Bengaluru
October 29, 2026
Full Time

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Job Description

HP is hiring a Data Engineer in Bengaluru, Karnataka, to develop data pipelines, analyze datasets, and build reliable data models. The role involves improving data quality, gaining insights into the business, and working on machine learning applications. The ideal candidate will be working alongside technical experts and business leaders in problem solving and data governance.

Qualification: Four-year or graduate degree in computer science, information technology, software engineering, statistics, mathematics, or a related discipline, or equivalent experience.

Experience:  2–4 years 

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Responsibilities

  • Enhance the processes of data pipelines, repositories, and modeling for both structured and unstructured data handling procedures.
  • Evaluate technical requirements and make programming modifications according to the data solutions needed in a given project.
  • Test the software, capture the results, identify the coding errors, and recommend the improvement of the application’s performance.
  • Collaborate with data scientists and other business partners in developing appropriate data engineering solutions.
  • Transform business requirements into data models and analytics for making intelligent decisions in businesses.

Requirements

  • Experience requirement of around 2–4 years in data analytics, data engineering, data modeling, or related disciplines.
  • Ability to write SQL or Python code or similar computer programming language for data processing and analysis.
  • Professional experience on topics of data pipeline, data modeling, data warehouse, and ETL.
  • Big Data technology skills like Apache Spark, Hadoop, Kafka, Cloud Computing.
  • Hands-on knowledge of Java, Scala, AWS, Microsoft Azure, and machine learning. 

Preferred Qualifications

  • Familiarity with programming languages such as SQL and Python and any other language related to this domain.
  • Should be an expert in Apache Spark, Apache Kafka, Apache Hadoop, and Big Data.
  • Should have awareness about cloud computing technologies including AWS and Microsoft Azure.
  • Exposure in building ETL processes, pipelines, and scalable data warehouses.
  • Good communication skills and teamwork along with problem-solving abilities for the issues encountered.

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