Lead Software Engineer, Data Platforms
3 weeks ago
We are seeking a highly motivated Software Engineer to join our Big Data Applications team. The successful candidate will be responsible for designing and building systems to process data at scale, solving challenging problems in both batch and real-time data processing, and working across software and data disciplines to engineer solutions.
Responsibilities- Contribute to maintaining, updating, and expanding the existing Data Capture platform including the Spark data pipelines while maintaining strict uptime SLAs
- Extend functionality of current Data Capture platform offerings, including metadata parsing, extending the metastore API, and building new integrations with APIs both internal and external to the Data organization
- Implement the Lakehouse architecture, working with customers, partners, and stakeholders to shift towards a Lakehouse centric data platform
- Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization
- Collaborate with product managers, architects, and other engineers to drive the success of the Data Capture platform
- Lead the developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, partitioning strategies, and more
- Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)
- Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
- Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements
- Maintain detailed documentation of your work and changes to support data quality and data governance requirements
- Provide mentorship and guidance for team members; evangelize the platform, best-practices, data driven decisions; identify new use cases and features and drive adoption
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