Senior Data Engineer

Transform data into analyzable format (ETL/ELT), securing the data delivers the defined benefits to the business.

Analyze, design, develop, test, and sustain infrastructures for data sourcing, maintenance, generation, and sharing.

Drive optimization, testing, and tooling to improve data quality and implement signals for data drifting and model decay.

Be responsible for all aspects of integrating, and processing data, including associated data modeling.

Provide APIs to enable easy and standardized sharing and access of data.

Provide SME expertise and operational know-how to support projects and solutions by converting data-related business requirements into data architectures and technical solutions.

Responsible for solution compliance with rules and standards (e.g. information security), legal and regulatory requirements as well as adherence to relevant delivery process standards

Support and coach our Software Engineers and product teams in developing software in a data-focused and data-enabled approach.

Document and make the operational know-how of the data infrastructure and engineering solutions available for the ecosystem and ensure awareness around available data.

Leverage best practices in continuous integration and delivery.

Ensure cost-conscious and maintainable solutions.

Expertize in Azure/AWS and creating data pipeline.

Experienced in python, pyspark, SQL.