Senior Data Engineer
Hewlett Packard Enterprise (HPE)Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Develop, maintain, and optimize scalable data pipelines and data models supporting analytics, reporting, and operations.
Ensure data quality through testing, monitoring, documentation, and implement improvements for performance, scalability, and cost efficiency.
Collaborate with senior engineers, analysts, and data scientists to deliver reliable, governed data solutions and support DataOps processes including CI/CD and automation.
Minimum Requirements
6-10 years of experience as a Data Engineer or in a similar role.
Mandatory hands-on experience with Snowflake including SQL, data modeling, and optimization.
Proficiency in SQL and Python, experience with data orchestration tools like Airflow, Dagster, or Prefect.
Work setup requires hybrid model with 2 days per week onsite at HPE office.
Ideal Candidate Profile
Experienced in modern data architecture, ETL/ELT design, and cloud environments (AWS, GCP, or Azure).
Comfortable working in cross-functional teams translating business requirements into technical data solutions.
Capable of driving adoption of new data tools, standards, and DataOps best practices in a large enterprise environment.