# Senior Data Engineer

**Company**: Hewlett Packard Enterprise
**Location**: Bengaluru, Karnātaka
**Work arrangement**: hybrid
**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_1216845-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8a4cf85c-191

## Description

We are looking for a talented Senior 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.

**Responsibilities:**

- 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.

**Requirements:**

- 6-10 years of experience as a Data Engineer or in a similar role.

- Hands-on experience with Snowflake, including SQL development, data modeling, performance optimization, and administration of analytical workloads.

- Hands-on experience designing, building, and operating modern data pipelines and cloud-based data platforms.

- Experience with modern analytical data architectures, including data lakes, data warehouses, and open table formats such as Apache Iceberg.

- Experience with dbt (or similar tools), including model development, testing, documentation, and version control workflows.

- Exposure to streaming/event technologies (Kafka, Kinesis, Pub/Sub).

- Strong SQL skills for data modeling, transformation, and analysis.

- Proficiency in Python for data pipeline development, automation, and data processing.

- Experience working with orchestration tools such as Airflow, Dagster, Prefect, or equivalent.

- Strong understanding of ETL/ELT design patterns, data lifecycle management, and data modeling best practices.

- Familiarity with cloud environments (AWS, GCP, or Azure).

- Knowledge of data quality, observability, monitoring, and reliability concepts.

- Good communication skills and the ability to collaborate effectively with cross-functional teams.

**Nice to Have:**

- Experience with ClickHouse and/or other high-performance analytical databases.

- 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.

## Skills

### Required
- Snowflake
- SQL
- Python
- Apache Iceberg
- dbt
- Kafka
- Kinesis
- Pub/Sub
- Airflow
- Dagster
- Prefect
- AWS
- GCP
- Azure

### Nice to have
- ClickHouse
- data governance
- ML workflows
- MLOps
- Terraform
- CloudFormation

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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_1216845-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)