Senior Data Engineer

Our team is responsible for improving customer satisfaction and supporting revenue generation by analyzing and controlling data used for products, scoring and analytical models. The data is provided by many Trade suppliers globally and needs to be processed accurately and in a secure and efficient way.

The Role

Lead the technical support given to Trade suppliers, Data Operations Analysts and Trade departments globally in solving Trade problems and Trade related issues. Lead data ingestion project to onboard new markets or transform data sources from legacy platforms onto modern cloud environment.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes
• Monitor and troubleshoot data workflows to ensure data quality, availability, and performance
• Automate manual processes and develop innovative data tools
• Evaluate and implement recent technology solutions
• End-to-end process ownership
• Communicate with stakeholders and manage expectations
• Conduct knowledge exchange sessions with technical and non-technical audiences
• Build new analytical processes, provide insight to data quality issues and implement data quality improvement processes.
• Research and implement modern data mastering techniques to increase derived insight on disparate data sources.
• Support other data engineers with design of ETL processes, code reviews, and knowledge sharing.
• Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage.

Key Requirements

• At least 5 years data engineering experience
• Degree in computer science or related field
• Proficiency in SQL and at least skilled at one of the programming languages in PHP/Python/Java
• Ability to utilize the network, applications, operating system monitoring and troubleshooting
• Take ownership of existing applications for further development/improvements
• Work closely with related groups to ensure business continuity
• A self-motivated learner with strong customer focus and with quality
• Logical with very strong problem-solving skills
• Strong understanding of data modeling, data warehousing, and database design
• Experience with cloud service providers AWS/Azure/GCP.
• Analytical skills and able to perform analysis on code bases to increase performance.
• Strong team player with excellent listening and communication skills
• Fluent English written and verbal
• Results oriented, flexible with an enthusiastic approach
• Ability to respond quickly to customer demands and market conditions