Data Engineer

we are looking for  Data Engineer  to work on  data processing pipeline and lead our data lake and data warehouse building, to help to  deliver more insights and scale our data infrastructure. You will have a chance to contribute to the company's evolving culture, bring innovative approaches and learn from your talented colleagues.

Designs and develops programs and tools to support data ingestion, curation, and provision of complex enterprise data to achieve analytics and reporting on our current technology stack

Designs and builds data extracts, integrations, and transformations

Provides successful deployment and provisioning of data solutions to required environments

Designs and builds data architecture and applications that successfully enable speed, quality, and efficiency pipelines

Interacts with cross-functional customers and development team to gather and define requirements

Develops understanding of the data and builds business acumen

Reviews discrepancies in requirements and resolves with stakeholders

 integrations are automated and have proper exception handling

Bachelor or Master’s degree in technical discipline such as Computer Science, Information Systems, Mathematics, Engineering (or another technical field).

3 years as a Data Engineer on a data, analytics, or data science team

Experience with building streaming pipelines at scale using Spark

Advanced experience with AWS cloud services

Advanced working SQL experience as well as performance turning

Experience with data pipeline workflow management tools such as Airflow

Experience working with agile methodologies and working in cross-functional teams