Senior Data Engineer

Join our team of talented data engineers and take on the exciting challenge of designing, constructing, installing, testing, and maintaining highly scalable data management systems. Not only will you ensure our systems meet business requirements and adhere to industry practices, but you will also have the opportunity to integrate cutting-edge data management and software engineering technologies into our existing data structures. As a Senior Data Engineer, you will have the chance to mentor and guide junior data engineers, while ensuring data governance and security policies are followed. In addition, you will play a crucial role in monitoring the performance of our data processing systems to maintain optimal data accuracy. Embrace this opportunity to make a significant impact in the field of data engineering!

Key Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Integrate up-and-coming data management and software engineering technologies into existing data structures.
• Lead, mentor, and guide junior data engineers.
• Ensure compliance with data governance and security policies.
• Monitor the performance of data processing systems and data accuracy.
• Maintaining the Cl/CD system and code base as per the acceptable industry standard level
• Establish procedures to maintain a high QA standard
• Maintain the cloud architecture spread across multiple accounts
• Adopt new technologies while also using the expertise you have built on modern big data tools and cloud services

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or related field.
• At least 5 years of experience in data engineering with a proven track record of designing and implementing complex data solutions.
• Strong programming skills in Python, with experience in developing robust, maintainable, and scalable data processing pipelines.
• Hands-on experience with CI/CD systems, automating workflows, and integrating data quality checks into the deployment process.
• Extensive experience with cloud services, preferably AWS, including the use of AWS data services and an understanding of Snowflake as a data warehousing solution.
• Versatile in working with various forms of data infrastructure, adept at managing both streaming and batch data systems.
• Solid understanding of data modelling, ETL (Extract, Transform, Load) processes, and data warehousing principles, with a commitment to high data quality and accuracy.

Benefits

Fostering a collaborative, open environment that’s conducive to employee success is the #1 priority at TMGM.

• Growth Opportunities - We value your growth as much as we do ours, so we include educational and career growth opportunities at every level.
• People-First Values -We believe building a great company happens by hiring great people. Our employees’ job satisfaction always comes first.
• Shared Success - We offer revenue share opportunities for the right people, allowing our employees to share in company success.
• Worldwide Team - Our worldwide team means you’ll work with others from all over the globe and gain international experience.