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Senior Data Engineer (Snowflake/AWS)

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Description

About the role

We are looking for an experienced senior data engineer (Snowflake/AWS) to design, build and operate reliable cloud-based data solutions. This is a hands-on engineering role where you will work across the full data engineering lifecycle — from developing data pipelines and improving data warehouse performance to troubleshooting production issues. You will contribute to data infrastructure that supports business analytics, operational processes and AI-related applications.

Key responsibilities

  • Design, develop and maintain data pipelines and data warehousing solutions using Snowflake and AWS.

  • Build and improve data ingestion, transformation and integration processes.

  • Write clean, reliable and maintainable code following software engineering best practices.

  • Troubleshoot production issues and improve data pipeline reliability.

  • Identify opportunities to improve data processing performance and efficiency.

  • Apply data quality and security practices to support reliable data solutions.

  • Contribute to data infrastructure supporting analytics and AI applications.

  • Collaborate with technical teams and stakeholders to deliver practical data solutions.

About you

  • 5 years of hands-on data engineering experience.

  • 1 year of in-depth Snowflake data warehousing experience, including practical development or implementation.

  • Strong hands-on experience with AWS cloud technologies.

  • Solid software engineering fundamentals, including maintainable coding and technical problem-solving.

  • Experience designing, developing and supporting production data solutions.

  • Ability to troubleshoot issues, take ownership of deliverables and collaborate effectively.


Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

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