Data Platform Specialist
5 days ago
We are looking for a highly skilled Data Platform Specialist to join our team. In this role, you will be responsible for designing, developing, and maintaining our data analytics platform. As a key member of our team, you will contribute to the development of our cutting-edge legal search engine & analytics product.
About the RoleYou will work closely with our architects to design and implement technical components, ensuring high-quality code and maintainability. Your expertise in development languages and technical stacks will be essential in delivering innovative solutions.
Key Responsibilities- Developing and implementing technical components, collaborating with the architect to ensure high-quality code and maintainability.
- Contributing to the development of our cutting-edge legal search engine & analytics product as part of a SCRUM squad team.
- Providing direct input to project plans, schedules, and methodology, ensuring effective project delivery.
- Collaborating with junior team members, providing guidance and support to ensure successful project outcomes.
- 5+ years of Software Engineering experience, especially in distributed data transform and load platforms.
- BS in Engineering/Computer Science or equivalent experience required.
- Solid experience with various resource models such as Managed Services and/or Staff Augmentation.
- Proficient with data manipulation language including optimization techniques, strong understanding of normalized/dimensional data modeling principles.
- Expertise in development languages and technical stack including but not limited to: AWS Cloud (services: Lambda, S3, Redshift, DocumentDB, event Bridge, SES, or SNS) and Python (Java is a plus).
- Familiar with distributed data analytics platforms such as Apache Spark or Databricks, Apache Flink, and Databases e.g. REDIS, Redshift, PostgreSQL, Graph DB, SQL, NoSQL, Apache Solr.
- Exceptional problem-solver with experience in leading teams including identifying, researching, and coordinating the resources necessary to effectively troubleshoot/diagnose complex project issues.
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