Data Engineer
Description For Data Engineer
Deel is revolutionizing global hiring with their platform that enables businesses to hire talent worldwide. As a Data Engineer on the Data Platform team, you'll be crucial in shaping Deel's data infrastructure that supports 30+ Analytics Engineers and 100+ data professionals. The role involves designing and implementing scalable data pipelines, collaborating with cross-functional teams, and maintaining data governance policies.
The company has shown impressive growth, raising additional funding in 2023 that doubled their valuation to $12B. You'll be joining a diverse global team of over three thousand individuals across 100+ countries, working on market-leading technology that connects global talent with outstanding opportunities.
Your responsibilities will span from pipeline design and implementation to query optimization and data governance. You'll work with modern tools like Snowflake, Airflow, dbt, and Fivetran, while ensuring data quality and security. The role requires strong technical skills in Python and SQL, experience with cloud data warehouses, and expertise in data modeling.
The position offers competitive compensation, including stock grants, remote work flexibility, and various location-based benefits. You'll be part of a team that values diversity, continuous learning, and innovation, working on solutions that impact millions of jobs worldwide.
This is an excellent opportunity for a data professional who wants to make a significant impact on global workforce solutions while working with cutting-edge technologies and a diverse, talented team.
Responsibilities For Data Engineer
- Design, implement, and manage scalable data pipelines using Snowflake, Airflow, dbt, and Fivetran
- Collaborate with cross-functional teams to understand data requirements
- Implement data governance policies
- Develop and maintain ELT processes
- Optimize SQL queries
- Diagnose and resolve data-related issues
- Build CI/CD system
- Ingest data from external systems via APIs
Requirements For Data Engineer
- Minimum 3 years as a Data Engineer or similar role
- Strong proficiency in Python and SQL
- Experience with cloud-based data warehouses
- Proficiency in designing efficient database schemas
- Familiarity with Apache Airflow
- Experience with data streaming and Change Data Capture
- Proficiency in Terraform and GitHub Actions
- Experience in setting up PII anonymization and RBAC
- Strong ability to work with cross-functional teams
Benefits For Data Engineer
- Provided computer equipment
- Stock grant opportunities
- WeWork access where available
- Remote work flexibility
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