Senior Data Engineer

Overview

Senior Data Engineer on HPE's Global Customer Experience Analytics team within the Networking Business Unit, designing and building scalable data pipelines and enabling high-quality analytics across the organization.

What you'll do

• 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'll need

• 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 collaboratively.
• Strong communication skills with the ability to translate technical concepts into business-friendly language.

Details

• Onsite role, with an expectation that you will primarily work from an HPE office.
• Location: Bengaluru, Karnātaka, India.