KEY RESPONSIBILITIES...● Build and operationalize cloud-based platform components● Develop production-quality data ingestion pipelines with automated quality checks using GCP andAstronomer● Assess existing systems architecture and recommend technical improvements● Develop Python-based automation to support product development and data analytics● Resolving technical problems as they arise● Research and propose emerging technologies and platform
KEY RESPONSIBILITIES...● Build and operationalize cloud-based platform components● Develop production-quality data ingestion pipelines with automated quality checks using GCP andAstronomer● Assess existing systems architecture and recommend technical improvements● Develop Python-based automation to support product development and data analytics● Resolving technical problems as they arise● Research and propose emerging technologies and platform
Job Title Data Engineer Job Family SummaryAs a Data Engineer, you will join Genus and work within the Data Platform Engineering team alongsidethe Data Platform Product Owner and Senior Data Engineer. In addition, you will be collaborating withthe Data Operations Team and Data Enablement Team, along with Key stakeholders and other membersof the team, such as Data Architects and Analysts, to design and deliver advanced data engineeringsolutions that enable
Job Title Data Engineer Job Family SummaryAs a Data Engineer, you will join Genus and work within the Data Platform Engineering team alongsidethe Data Platform Product Owner and Senior Data Engineer. In addition, you will be collaborating withthe Data Operations Team and Data Enablement Team, along with Key stakeholders and other membersof the team, such as Data Architects and Analysts, to design and deliver advanced data engineeringsolutions that enable
Should have a minimum 2+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range ofAWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally andtechnical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation,
Should have a minimum 2+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range ofAWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally andtechnical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation,