Senior Data Engineer

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About the role

Senior Data Engineer This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Aruba is an HPE Company, and a leading provider of next-generation network access solutions for the mobile enterprise. Helping some of the largest companies in the world modernize their networks to meet the demands of a digital future, Aruba is redefining the “Intelligent Edge” – and creating new customer experiences across intelligent spaces and digital workspaces. Join us redefine what’s next for you. Job Family Definition: The Global Customer Experience Analytics team within HPE’s Networking Business Unit is seeking a curious, creative, and self‑driven Senior Data Engineer. You’ll design and build scalable data pipelines, integrate complex data sources, and enable high‑quality analytics across the organization. This role is ideal for someone who thrives in a fast‑paced environment, enjoys solving complex data problems, and communicates clearly with both technical and business partners. What you’ll do: • .Key Responsibilities • Partner with cross‑functional teams to identify opportunities for data‑driven improvements and translate business needs into technical solutions. • Ingest and integrate data from structured and unstructured enterprise systems, including Databricks and IT data platforms. • Design and build curated data models and analytical layers to support reporting and downstream analytics. • Develop, optimize, and maintain pipelines using SQL, Python, and orchestration tools. • Clean, transform, and prepare datasets for reliable consumption across the business. • Ensure data quality and observability across pipelines, workflows, and storage layers. • Integrate new data sources, APIs, and event streams into the platform. • Create clear data documentation and communicate technical concepts to non‑technical stakeholders. • Stay current with modern data engineering tools, cloud technologies, and best practices. What you need to bring: • Required Qualifications • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field. • 9+ years of experience in data engineering or related domains. • Strong proficiency in SQL and relational database technologies. • Advanced Python skills for pipelines, automation, and testing. • Deep understanding of ETL/ELT patterns, data modeling, and data lifecycle management. • Hands‑on experience with orchestration tools (Airflow, Dagster, Prefect, etc.). • Knowledge of data quality, observability, and monitoring frameworks. • Experience with CI/CD, DataOps, and automation practices. • Familiarity with data governance and compliance. • Experience with Databricks, Alteryx, and BI tools such as Power BI or Tableau (for data consumption enablement). • Experience with cloud storage and distributed systems (AWS S3, Hadoop, Hive, Snowflake). • Familiarity with major cloud platforms (AWS, GCP, Azure). • Ability to manage multiple projects, prioritize effectively, and work independently or collaborativel

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