Data Engineer

HP
Bengaluru
Full timeFunction: Software EngineeringExperience: 4-7 yearsEducation: bachelorsSkills: ["Collaboration","Learning agility","Communication","Problem solving","Analytical skills"]

Design and establish secure, high-performance data architectures and improvements across data pipelines, repositories, and models. Own analysis of coding, integration, and testing needs; debug and resolve issues impacting data system reliability and quality. Partner with other data engineers and cross-functional teams to deliver reports, automate data quality improvements, and interpret trends in complex datasets. Represent the team on larger projects and mentor less experienced staff.

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FursaFursa
HP
HP
3 days ago

Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design and establish secure, high-performance data architectures and improvements across data pipelines, repositories, and models. Own analysis of coding, integration, and testing needs; debug and resolve issues impacting data system reliability and quality. Partner with other data engineers and cross-functional teams to deliver reports, automate data quality improvements, and interpret trends in complex datasets. Represent the team on larger projects and mentor less experienced staff.
Location: Bengaluru
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and establish secure, performant data architectures and enhancements for data pipeline, repository, and model components.
  • •Analyze and determine coding, programming, and integration activities required based on overall architecture goals.
  • •Write and execute testing plans and protocols; debug and create solutions for code and integration issues in the data system.
  • •Collaborate with other data engineers and cross-functional teams to develop reliable solutions and assess report deliverables.
  • •Assess data inaccuracies, automate quality improvements, investigate issues in complex datasets, and mentor less experienced staff.

Key Requirements

  • •4–7 years of work experience in data analytics, data engineering, data modeling, or a related field (or an advanced degree with 3–5 years).
  • •A four-year/graduate degree in Computer Science, Information Technology, Software Engineering, Statistics/Mathematics, or equivalent competence.
  • •Experience developing and supporting data pipelines, data extraction, transformation, validation, and reporting.
  • •Hands-on experience with AI/GenAI solutions (e.g., Copilot, chatbots, prompt engineering) and automation use cases.
  • •Experience with SQL or Python, including knowledge of data engineering, warehousing, and ETL concepts.
Experience:4-7 yearsData engineeringData analyticsData modeling
Education:Bachelor's
Skills:CollaborationLearning agilityCommunicationProblem solvingAnalytical skills
Certifications:SQLPython
Tech Stack:SQLPythonMinitabMicrosoft Power BIPower AutomateExcelAmazon Web ServicesApache HadoopApache KafkaApache SparkBig DataMicrosoft AzureJavaScalaETLMachine LearningData PipelinesData Warehousing

Company Brief

HP
Designs and manufactures personal computers, printers, and related supplies, as well as provides software, services, and solutions for consumers and enterprises worldwide.
Industry: Hardware Devices
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Palo Alto, United States
Founded: 1939
Glassdoor
Glassdoor: 3.8
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