iSpot is a dynamic company focused on optimizing data pipelines and enhancing data flow for cross-functional teams. They are seeking a Software Development Engineer 3 to contribute to their Clean Room team by delivering data solutions and improving processes within their data architecture.
Responsibilities:
- Delivering data to business units using standardized data delivery pipelines
- Oversees datasets and ETLS connected to iSpot’s product suite
- Collaborates with operations teams for data access for clean rooms, APIs, and feeds, ensuring seamless data integration
- Authors and owns testing plan for assigned projects; identifies patterns in test failures; ensures relevant tests are considered and performed including unit, component, contract, integration, performance and end-to-end
- Defines useful metrics and targets for domain; measurably improves process and best practices to achieve goals and objectives; handles on-call responsibilities by confidently navigating alerts and incidents and proactively updates service runbooks or SOPs (Standard Operating Procedures); performs RCA in both standard and non-standard areas; and designs and builds telemetry for issue analysis, including sufficient use case coverage and P1 failures
- Routinely communicates across Engineering project teams complex ideas/issues and is able to know when and how to escalate issues
- Authors, reviews and approves requirements and designs for one or more features within assigned domain; develops according to specific requirements with scalability, hardware capabilities, cross-environment and platform implications Implements optimizations with direction
Requirements:
- Master's degree or foreign equivalent in Computer Science or a related computer field with 2 years of related experience or a Bachelor's degree plus 4 years of progressive related experience
- 2 years of experience with SQL; C, Java, or Python; Oracle, PostgreSQL, or SQL Server; providing application support; SQL Developer; and AWS
- 1 year of experience with Snowflake; designing and implementing ETL pipelines with Apache Spark (Scala and Java); and Amazon Redshift