Data Engineer

The Data Engineer will play a crucial role in leveraging data analytics platforms to transform raw data into actionable insights. This position requires a strong background in data engineering, experience with Seeq Analytics, and a passion for solving complex data problems.

Specific Responsibilities

• Develop, implement, and maintain data pipelines and ETL processes to ensure efficient data flow and transformation.
• Utilize Seeq Analytics to analyze time-series data, generate insights, and support decision-making processes.
• Experience in a data visualization tool such as PowerBI or related.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Optimize and tune data systems for performance and reliability.
• Ensure data quality and integrity across various data sources.
• Create and maintain documentation related to data engineering processes and workflows.
• Assist in the deployment and management of machine learning models and advanced analytics solutions.
• Troubleshoot and resolve data-related issues in a timely manner.
• Support internal customers by developing innovative solutions to meet their data needs.
• Enhance and support the CI/CD automation needs of the business.
• Previous experience as an active SCRUM team member.