Hewlett Packard Enterprise is a global edge-to-cloud company advancing the way people live and work by helping companies connect, protect, analyze, and act on their data and applications
Job Summary
Hewlett Packard Enterprise is a global edge-to-cloud company advancing the way people live and work by helping companies connect, protect, analyze, and act on their data and applications.
The Senior Data Engineer role involves building and optimizing data pipelines, collaborating with engineers and analysts, and contributing to the continuous evolution of a modern data ecosystem.
HPE offers comprehensive health and wellbeing benefits, invests in personal and professional development, and fosters an inclusive culture that values varied backgrounds.
Matching Summary
Hewlett Packard Enterprise is a global edge-to-cloud company advancing the way people live and work by helping companies connect, protect, analyze, and act on their data and applications.
Skills & Requirements
Must-have
Hands-on experience with Snowflake
Strong SQL skills for data modeling
Proficiency with Python for automation
Experience with data pipeline orchestration tools
Data quality and monitoring implementation
Cloud environment familiarity
Nice-to-have
Exposure to streaming/event technologies
Experience with data governance tools
Basic understanding of ML workflows
Infrastructure-as-code tools experience
Familiarity with testing frameworks
Cross-functional team collaboration
Security-First Mindset
Key Requirements
6-10 years experience as Data Engineer
Hands-on Snowflake expertise mandatory
Experience with dbt or similar tools
Strong knowledge of data pipeline architecture
Proficiency in SQL and Python
Experience with orchestration tools like Airflow
Familiarity with cloud platforms AWS, GCP, or Azure