Senior Data Engineer

at  Zenitech

REQUIREMENTS

• Python

ABOUT US

Zenitech is a leading technology solutions provider dedicated to reshaping the global digital landscape. Headquartered in the UK, Zenitech operates internationally, with offices in Lithuania, Romania, and Hungary.
We use a bespoke approach depending upon where the client is on their digital journey, comprising a combination of access to dedicated R&D labs, technology implementation advice, and specialist nearshore development talent. As an international community of individuals who are open to learn from each other, we collectively define and input into the digital future of the clients’ businesses.

THE ROLE

The PDE team (Partners Data Engineering team) is currently in the process of consolidating data from applications provided by other partners. The initial phase involves ingesting data into an “operational” data store that accurately reflects the source structure in a virtual one-to-one manner.

WHAT YOU WILL DO

• Design and architect scalable, efficient, and high-performance data pipelines and systems;
• Develop and implement data modeling standards and best practices;Collaborate with cross-functional teams and guide them in making data-driven decisions;
• Develop project plans, set milestones, and ensure timely delivery of high-quality solutions;
• Design, develop, and maintain Extract, Transform, Load (ETL) processes to move and integrate data from various sources to data warehouses or data lakes;
• Optimize data processing and query performance for large-scale datasets;
• Monitor and troubleshoot data pipeline issues to ensure continuous and reliable data flow;
• Work closely with data scientists, analysts, and business stakeholders to understand their data requirements and provide the necessary infrastructure;
• Create and maintain comprehensive documentation for data engineering processes, data models, and system architecture;
• Identify areas for process improvement and efficiency gains.