Data Engineer

Summary

Join Deel's Data Platform team as a Data Engineer and play a critical role in shaping the future of our data infrastructure. You will design, implement, and manage scalable data pipelines using tools like Snowflake, Airflow, dbt, and Fivetran. Collaborate with cross-functional teams to meet business needs and ensure data integrity, quality, and security. Optimize SQL queries, diagnose data issues, and build a cutting-edge development environment. This role requires a minimum of 3 years of experience as a Data Engineer and strong proficiency in Python and SQL. Deel offers competitive pay, stock grant opportunities, remote work flexibility, and additional perks and benefits.

Requirements

• Experience: Minimum 3 years as a Data Engineer or in a similar role
• Technical Skills: Strong proficiency in Python and SQL
• Data Warehousing: Hands-on experience with cloud-based data warehouses
• Data Modeling: Proficiency in designing efficient database schemas
• Workflow Orchestration: Familiarity with tools like Apache Airflow
• Data Streaming: Experience with data streaming and Change Data Capture (CDC)
• Infrastructure: Proficiency in Terraform and GitHub Actions
• Compliance: Experience in setting up PII anonymization and RBAC
• Collaboration: Strong ability to work with cross-functional teams and communicate technical concepts to non-technical stakeholders
• Problem-Solving: Excellent analytical skills with a keen attention to detail

Responsibilities

• Design, implement, and manage scalable and efficient data pipelines using tools like Snowflake, Airflow, dbt, and Fivetran
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that align with business needs
• Implement and enforce robust data governance policies to maintain data integrity, quality, and security
• Develop and maintain ELT processes to extract, load, and transform data from diverse sources into the data warehouse in both batch and streaming fashion
• Optimize SQL queries to enhance data analysis and reporting
• Partner with data analysts, data scientists, analytics engineers, and stakeholders to understand data workflows and provide technical support
• Diagnose and resolve data-related issues promptly
• Build a cutting-edge development environment and CI/CD system to ensure scalability and efficiency
• Ingest data from various external systems via APIs
• Stay informed on industry trends and emerging technologies to drive continuous improvement in data engineering practices

Preferred Qualifications

• Kubernetes: Experience with Kubernetes is a plus
• Data Warehouse Administration: Prior experience managing data warehouses is advantageous
• Regulatory Compliance: Familiarity with GDPR or similar data privacy regulations is beneficial

Benefits

• Provided computer equipment tailored to your role
• Stock grant opportunities dependent on your role, employment status and location
• Additional perks and benefits based on your employment status and country
• The flexibility of remote work, including WeWork access where available