# Senior Data Engineer

**Company**: Hewlett Packard Enterprise
**Location**: Bengaluru, Karnātaka
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Senior-Data-Engineer_1208454-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_94ab6aef-515

## Description

We are seeking a Senior Data Engineer to join our Global Customer Experience Analytics team within HPE's Networking Business Unit. As a Senior Data Engineer, you will design and build scalable data pipelines, integrate complex data sources, and enable high-quality analytics across the organization.

**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.

**Requirements:**

- 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.

## Skills

### Required
- SQL
- Python
- Databricks
- ETL/ELT
- Data modeling
- Data lifecycle management
- Orchestration tools
- Data quality
- Observability
- Monitoring frameworks
- CI/CD
- DataOps
- Automation practices
- Data governance
- Compliance
- Cloud storage
- Distributed systems
- Cloud platforms

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Bengaluru-Karntaka-India/Senior-Data-Engineer_1208454-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)