Data Engineer

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

📋 Description

• Design, build, and sustain scalable and dependable data pipelines along with ETL/ELT processes.

• Create and enhance data warehouse solutions.

• Oversee data infrastructure development and maintenance, primarily utilizing AWS, while also providing support for certain aspects of the legacy infrastructure.

• Develop APIs and facilitate data integrations.

• Play a key role in developing and maintaining real-time data pipelines utilizing Kafka.

• Automate and refine data processes and workflows.

• Monitor, troubleshoot, and enhance the reliability, performance, security, and data quality of pipelines and infrastructure.

• Collaborate closely with the analytics team and other stakeholders to comprehend data requirements and deliver effective solutions.

• Ensure clear and current documentation is maintained for data pipelines, infrastructure, and workflows.

• Contribute to the enhancement and modernization of current data processes and architecture.

⛳️ Requirements

• A minimum of 2 years of professional experience in data engineering.

• Proficient in SQL and Python.

• Practical experience with AWS, including S3, Redshift, Glue, and Lambda.

• Hands-on experience using Apache Airflow.

• Strong grasp of data warehousing concepts and data modeling.

• Experience in designing, developing, and maintaining production data pipelines, emphasizing reliability, monitoring, and data quality.

• Solid understanding of both relational and non-relational databases.

• Familiarity with Git and CI/CD practices, preferably with GitLab.

• Experience in developing APIs and data integrations.

• Excellent written and verbal communication skills.

• Proficient in English at an upper-intermediate level or higher.

🏝️ Benefits

• Remote work opportunity.

• Full-time employment.