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About the Job
As a Data Engineer, you will play a critical role in building and managing data solutions to support our organization's data-driven initiatives. You will provide technical leadership to a team of data engineers and work closely with data analysts, data scientists, and other stakeholders to ensure data is collected, processed, and made available for analysis.
In this role you will work as part of a globally distributed team.
What will you do?
Review and merge code contributions from others in a given data domain
Design, develop, and maintain data pipelines for data extraction, loading, and transformation (ELT) processes
Utilize SQL and Python to create ELT processes and collaborate with cross-functional teams to understand data requirements and ensure data pipelines meet business needs
Create and maintain data models using dbt and Snowflake that enable efficient data transformation and reporting
Collaborate with engineers to ensure data models align with the overall data architecture.
Work on database schema design, performance tuning, and security within the Snowflake environment
Provide technical guidance, mentor, coaching, and support a team of data engineers.
Collaborate with other departments and stakeholders to align data engineering efforts with overall business goals
Promote opensource principles
Implement data governance policies and practices to maintain data quality, security, and compliance with relevant regulations (e.g., GDPR, HIPAA)
Document data engineering processes, standards, and best practices for knowledge sharing and training
Promote and enforce coding and data engineering best practices within the team
Troubleshoot and resolve data-related issues in a timely manner
What will you bring?
Extensive experience in data engineering, including ELT development, data pipeline management, and data modeling using
Strong proficiency in database management, performance tuning, and data security
Experience with open source projects and principles
Proficiency in Python for data processing and automation
Tech leadership management skills
Experience working with globally distributed teams
Familiarity with data governance, data security, and compliance standards
Nice to Haves:
Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
Experience with Snowflake
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