Data Engineer

Data Engineer

  

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Job Description:

   

About the Role

We are looking for a talented Data Engineer to help build and enhance the data platform that supports analytics, operations, and data-driven decision-making across the organization. You will work hands-on to develop scalable data pipelines, improve data models, ensure data quality, and contribute to the continuous evolution of our modern data ecosystem.
 

You’ll collaborate closely with Engineers, Analysts, Data Scientists, and stakeholders across the business to deliver reliable, well-structured, and well-governed data solutions.
 

What You’ll Do

Engineering & Delivery

• Build, maintain, and optimize data pipelines for batch and streaming workloads.
• Develop reliable data models and transformations to support analytics, reporting, and operational use cases.
• Integrate new data sources, APIs, and event streams into the platform.
• Implement data quality checks, testing, documentation, and monitoring.
• Write clean, performant SQL and Python code.
• Contribute to improving performance, scalability, and cost-efficiency across the data platform.

Collaboration & Teamwork

• Work closely with other senior engineers and architects to implement architectural patterns and best practices.
• Collaborate with analysts and data scientists to translate requirements into technical solutions.
• Participate in code reviews, design discussions, and continuous improvement initiatives.
• Help maintain clear documentation of data flows, models, and processes.

Platform & Process

• Support the adoption and roll-out of new data tools, standards, and workflows.
• Contribute to DataOps processes such as CI/CD, testing, and automation.
• Assist in monitoring pipeline health and resolving data-related issues.

What you need to bring:

• 4-8 years of experience as a Data Engineer or similar role.
• Hands-on experience with Snowflake (mandatory)—including SQL, modeling, and basic optimization.
• Strong knowledge of current arhitecure best practices of data pipelines and DWH.
• Experience with dbt (or similar)—model development, tests, documentation, and version control workflows.
• Strong SQL skills for data modeling and analysis.
• Proficiency with Python for pipeline development and automation.
• Experience working with orchestration tools (Airflow, Dagster, Prefect, or equivalent).
• Understanding of ETL/ELT design patterns, data lifecycle, and data modeling best practices.
• Exposure to streaming/event technologies (Kafka, Kinesis, Pub/Sub).
• Familiarity with cloud environments (AWS, GCP, or Azure).
• Knowledge of data quality, observability, or monitoring concepts.
• Good communication skills and the ability to collaborate with cross-functional teams.
   

Nice to Have

• Experience with data governance or cataloging tools.
• Basic understanding of ML workflows or MLOps concepts.
• Experience with infrastructure-as-code tools (Terraform, CloudFormation).
• Familiarity with testing frameworks or data validation tools.

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.

#india

#aruba

Job:

Engineering

Job Level:

TCP_03

    

    

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.

   

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