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
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
Requirements:
Bachelor or Masters 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
Bachelor or Masters 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
This position is open to all candidates.