Staff Engineer

Summary

Join our Digital Product Engineering company as a Data Engineer! We are a rapidly growing global company with 15000+ experts across 26 countries. This role requires 5+ years of experience in data engineering with a strong background in Snowflake, SQL Server, and Python. You will design and implement complex data pipelines and ETL processes. The ideal candidate will have experience with MSSQL, AWS, and a proven track record of success in data engineering. We offer a dynamic and non-hierarchical work culture.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field
• Minimum of 5 years of hands-on experience in data engineering
• 2+ years commercial experience with MSSQL
• 1+ years commercial experience with major cloud provide, preferably AWS
• Experience in embedded DBA /DBM role working directly with developers
• Proven experience in designing and implementing complex data pipelines, ETL processes, and data integrations
• In-depth knowledge of Snowflake architecture, features, and best practices for performance optimization
• Proficiency in SQL, Python, or other relevant programming languages for data manipulation and transformation
• Excellent problem-solving skills and the ability to troubleshoot and resolve complex data engineering challenges
• Strong communication skills and the ability to work collaboratively in a team environment

Responsibilities

• Design and implement complex data pipelines, ETL processes, and data integrations
• Maintain and optimize existing data pipelines and ETL processes
• Troubleshoot and resolve complex data engineering challenges
• Collaborate with other engineers and stakeholders to define data requirements and solutions

Preferred Qualifications

• Master's degree is a plus
• Data engineering certifications, are a plus