Senior Data Engineer

HPE Aruba Networking; Bengaluru; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

HPE Aruba Networking in Bengaluru, India, is seeking a Senior Data Engineer to design and build scalable data pipelines, integrate diverse data sources, and enable high‑quality analytics across the organization. You will collaborate with cross‑functional teams to translate business needs into technical solutions and maintain data quality across complex pipelines.

You will leverage SQL, Python, and orchestration tools like Airflow, Dagster or Prefect, and work with Databricks, BI tools, and cloud

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

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.

Skills

SQL proficiency

Python pipelines

Data modeling

ETL/ELT patterns

Data quality observability

CI/CD DataOps

Cloud & distributed systems

Communication skills

Education

Bachelor’s or Master’s degree in CS/Data Eng

Tools

Databricks

Airflow

Dagster

Prefect

Power BI

Tableau

Hadoop

Hive

Snowflake

Alteryx

AWS S3

Job description

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

What You’ll Bring

• A strong sense of ownership and accountability from design through delivery.
• Curiosity and enthusiasm for solving complex, ambiguous data problems.
• A collaborative mindset and eagerness to partner with diverse teams.
• A balance of technical depth and practical business understanding.
• A drive to continuously learn, improve, and adopt modern data engineering practices.

What We Can Offer You

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. We make bold moves, together, and are a force for good.

Job Level

TCP_04

Job

Engineering

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Equal Employment Opportunity

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.