Experienced Data Engineer Scalable Data Solutions

Position

Experienced Data Engineer for Scalable Data Solutions in Hybrid Role

About

Elevate your data engineering career by developing robust ETL processes and scalable data pipelines. Collaborate across global teams while working in a hybrid environment that balances remote flexibility with in-office synergy.

This Data Engineer role involves designing and implementing effective data pipeline solutions tailored to business needs. You will integrate and optimize data warehousing technologies like Snowflake and AWS Redshift. With a focus on building reliable data solutions, collaboration, and documentation, your work will enhance data governance and performance.

Key Responsibilities

• Design and develop scalable data pipelines
• Optimize data warehousing solutions on Snowflake and Redshift
• Automate ETL processes using Python
• Collaborate with teams across multiple time zones
• Document data governance standards and processes

Requirements

• 2+ years ETL experience with AWS Glue or similar
• Proficient in Python and SQL for data automation
• Strong background in AWS or Azure cloud platforms
• Expertise in data warehouse management
• Excellent communication skills for client interaction

Additional Information

Leverage your skills in data pipeline automation and cloud technologies to create impactful data solutions in a dynamic hybrid work model.

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