Hewlett Packard Enterprise

Senior Data Engineer – Business Process Mining

Hewlett Packard Enterprise

full-time

Posted on:

Location Type: Office

Location: Bangalore • 🇮🇳 India

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Job Level

Senior

Tech Stack

AzureERPETLHadoopInformaticaKafkaPythonSparkSQLTFS

About the role

  • Design, build, and maintain robust ETL/ELT pipelines delivering clean, reliable, and timely data to process mining tools (e.g., Celonis).
  • Translate complex business requirements into scalable data models, event logs, and transformation logic optimized for process analytics.
  • Integrate data from multiple systems (ERP, CRM, CPQ, billing, supply chain) into unified process mining datasets.
  • Ensure data quality, completeness, lineage, and governance across multiple data sources and environments.
  • Collaborate with Business Analysts, Process Engineers, and IT teams to validate data, resolve gaps, and align on process definitions.
  • Optimize data pipelines for performance, scalability, and reusability across multiple business units.
  • Develop testing frameworks, data validation scripts, and monitoring solutions to detect and resolve data issues proactively.
  • Contribute to data architecture reviews and champion best practices for security, performance, and maintainability.
  • Support automation solutions and action flows by enabling real-time or near–real-time data availability.

Requirements

  • Typically a First Level University degree in Technical Communications, Computer Science or related technical/communications field and a minimum of 8+ years related experience or an Advanced University degree and a minimum of 6 years experience or equivalent.
  • 10–12 years of experience in data engineering, data integration, or related roles.
  • Expert-level Python and SQL.
  • Strong ETL/ELT development experience (Informatica, DataStage, Azure Data Factory, or similar).
  • Experience with version control (Git/TFS) and development best practices.
  • Strong background in relational databases, data modeling, and data warehousing concepts.
  • Experience with Power BI, Qlik, or similar visualization tools.
  • Understanding of big data technologies such as Hadoop, Kafka, Hive, Spark.
  • Experience with Dataiku or similar data preparation tools is a plus.
Benefits
  • Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
  • Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
  • Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLETLELTdata integrationdata modelingdata warehousingdata validationbig data technologiesdata preparation
Soft skills
collaborationproblem-solvingcommunicationdata governanceprocess optimizationtesting frameworksmonitoring solutionsbest practices
Certifications
First Level University degreeAdvanced University degree