About the role

Data Engineer (Haystack)

Role Overview

Develop, maintain, and optimize scalable data pipelines and storage solutions. Partner with cross-functional teams to define data requirements, ensure data quality, and contribute to the architecture of data systems.

Responsibilities

Develop and maintain scalable data pipelines
Implement and optimize data storage solutions
Collaborate with cross-functional teams to understand data requirements
Ensure data quality and integrity across systems
Contribute to the design and architecture of data solutions
Troubleshoot and resolve data-related issues

Requirements

5+ years of hands-on experience with Databricks
3+ years in Data Modeling, ETL/ELT, and distributed data processing
5+ years with Spark and Snowflake
5+ years of experience with Python
Strong communication skills for fast-paced environments and resolving ambiguities
Familiarity with data governance, metadata management, or data quality frameworks

Nice to Have

Experience with data governance, metadata management, or data quality frameworks (explicitly mentioned as a fit)

What’s Offered

Opportunity to work on challenging, innovative data projects
Collaboration with a dynamic global team
Professional growth and skill development opportunities

About Haystack

Haystack is partnering with a leading global technology and consulting firm that delivers digital transformation services across multiple industries. The role focuses on building scalable data solutions and enabling innovative, data-driven outcomes for clients.

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