Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and deploy resilient data platforms, encompassing data lakehouses and warehouses, while automating their operations using tools such as Azure DevOps, Terraform, and CloudFormation.

• Execute and enhance advanced ETL/ELT data pipelines, orchestrating intricate data jobs through platforms such as Databricks notebooks and dbt.

• Create and sustain data models, potentially utilizing data virtualization tools like Cube.

• Utilize managed and serverless cloud solutions to develop high-performance and scalable cloud-native application solutions and data pipelines.

• Implement best practices for data security while ensuring adherence to governance requirements.

• Construct high-performance data pipelines and integrate with BI tools such as Tableau, Looker, and Power BI.

• Provide leadership in applying software development best practices, including CI/CD and managing Infrastructure as Code.

⛳️ Requirements

• Over 5 years of practical experience in the Data Engineering field.

• Advanced skills in Python and SQL (TypeScript/JavaScript/Java is a plus).

• Demonstrated experience in implementing ETL/ELT processes and data modeling for data warehouses and lakehouses.

• Familiarity with the Medallion Architecture (Bronze, Silver, and Gold layers).

• Experience in advanced DevOps practices, CI/CD, and strong proficiency in Linux system administration.

• Expertise in 2-3 major cloud and data platforms (e.g., Azure, AWS, GCP, Snowflake, Databricks, and Fabric).

🏝️ Benefits

• Fully remote work environment.

• Flexible work schedule.

• Paid parental and bereavement leave.

• Opportunities to work with globally recognized clients, enhancing your skills for an impressive resume.

• Join a top-tier team for learning and growth.