Data Engineering Consultant (Snowflake)

TL;DR

Data Engineering Consultant (Snowflake): Supporting and maintaining an enterprise data platform with an accent on data quality, pipeline reliability, and stakeholder collaboration. Focus on resolving complex data discrepancies, optimizing ETL/ELT processes, and implementing sustainable data governance solutions.

Company

hirify.global is an independent technology consulting firm providing guidance and solutions to businesses worldwide.

What you will do

• Support and maintain the enterprise data platform built on Snowflake.
• Investigate and resolve data quality issues and reconcile discrepancies between source systems and reports.
• Monitor and support data pipelines to ensure reliable and timely data delivery.
• Perform root cause analysis and implement sustainable solutions to recurring data issues.
• Collaborate with business stakeholders, BI, and analytics teams to enable accurate reporting.
• Contribute to data governance, documentation, and best practices across the platform.

Requirements

• 5–8 years of experience in data engineering or data platform engineering.
• Strong hands-on experience with Snowflake in a production environment.
• Advanced SQL skills and experience working with large datasets.
• Proven ability to develop, troubleshoot, and support ETL/ELT data pipelines.
• Understanding of data warehousing concepts, data modeling, and data integration.
• Fluency in English is essential.

Nice to have

• Experience with generative AI tools.

Culture & Benefits

• International community with over 110 different nationalities.
• Robust training system via an internal Academy with 250+ modules.
• Strong internal growth opportunities and a culture based on trust.
• Vibrant workplace with frequent internal events and team buildings.
• Opportunity to lead social or environmental impact projects through the WeCare Together program.

Hiring process

• Brief virtual or phone introductory call to discuss motivations and fit.
• Average of 3 interviews with the line manager and team members.
• Technical case study or assessment depending on the specific role requirements.