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
Role summaryYou’ll enhance and scale the platform’s data layer: modeling, transformations, performance, and correctness. This role is hands-on and production-oriented.What you’ll doBuild curated datasets and optimize Snowflake performance/costDesign incremental pipelines, backfills, and reconciliation processesImplement monitoring and data validations tied to SLAsCollaborate with API/analytics consumers on stable contracts and documentationImprove
Role summaryYou’ll enhance and scale the platform’s data layer: modeling, transformations, performance, and correctness. This role is hands-on and production-oriented.What you’ll doBuild curated datasets and optimize Snowflake performance/costDesign incremental pipelines, backfills, and reconciliation processesImplement monitoring and data validations tied to SLAsCollaborate with API/analytics consumers on stable contracts and documentationImprove
Collaborate with Product teams ensuring that raw data is cleansed and transformedand useable by downstream consumers (ML Engineers, BI analytics) Expect level PL-SQL Assist and advise on the re-development and modernisation of end-to-end ETLpipelines and introduce new technologies where appropriate in a real-time streamingenvironment dealing with very large data volumes Working with AWS cloud infrastructure (specifically SQS, SNS, Redshift,OpenSearch,
Collaborate with Product teams ensuring that raw data is cleansed and transformedand useable by downstream consumers (ML Engineers, BI analytics) Expect level PL-SQL Assist and advise on the re-development and modernisation of end-to-end ETLpipelines and introduce new technologies where appropriate in a real-time streamingenvironment dealing with very large data volumes Working with AWS cloud infrastructure (specifically SQS, SNS, Redshift,OpenSearch,