Data Engineer - Remote

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in the United States.

In Short

• Design, develop, and maintain scalable ETL pipelines for transferring and transforming data.
• Automate data ingestion, transformation, and loading processes using SQL, Python, and cloud-based tools.
• Integrate data with cloud platforms such as Salesforce Data Cloud, Google BigQuery, and MuleSoft.
• Monitor and troubleshoot pipeline performance, ensuring data accuracy, completeness, and timeliness.
• Implement data quality checks, validation processes, and operational monitoring.
• Collaborate with analysts, data scientists, and stakeholders to understand requirements.
• Enforce data security measures, including access controls and compliance with regulations.
• Maintain comprehensive documentation for pipelines, processes, and data models.

Requirements

• Experience with ETL processes and data pipeline development.
• Proficiency in SQL and Python programming.
• Familiarity with cloud platforms and tools.
• Strong analytical and problem-solving skills.
• Knowledge of data security and compliance regulations.
• Ability to work collaboratively in a team environment.
• Excellent documentation skills.

Benefits

• Opportunity to work with cutting-edge cloud solutions.
• Collaborative and innovation-focused environment.
• Potential for meaningful outcomes in data-driven decision-making.