Data Engineer

As a Data Engineer at Traxccel, you will play a vital role in designing, building, and maintaining the data architecture of our systems. You will work with large volumes of data to help drive our analytics and decision-making process. Collaborating closely with data scientists and analysts, you will ensure that our data infrastructure is robust, scalable, and efficient. Your strong proficiency in Python and your ability to construct and optimize data pipelines will be crucial to the success of our data-driven initiatives. This position is essential for leveraging data as a strategic asset and enhancing our operational performance across the organization. You will not be managing a team but will work closely with various departments to meet their data needs and support analytical efforts.

Responsibilities

Design, develop, and implement efficient data pipelines that facilitate data processing and retrieval.
Collaborate with data scientists and analysts to understand data requirements and provide relevant solutions.
Optimize the existing data architecture for performance and maintainability.
Monitor and troubleshoot data pipeline issues, ensuring high data quality and availability.
Implement best practices for data governance and security, protecting sensitive information.
Analyze and model complex datasets to ensure data is structured and organized effectively for analysis.
Stay up-to-date with emerging data engineering technologies and methodologies to improve performance and efficiency.
Engage in code reviews and write documentation to maintain standardization and best practices across data engineering tasks.
Participate in cross-functional teams to contribute to data-related projects and initiatives.