Description:
Looking for a Sr. Data Engineer focused on deep diving into using state-of-the-art development tools to pair program, develop and test code integrated into a Lean/Agile environment for the company that is a key enabler for high performance in innovation and mobility.
Responsibilities
- Work hands-on with the team and other stakeholders to deliver quality software products that meet our customer's requirements and needs.
- Collaborate directly and continuously with Product Managers and Technical Anchor and work with Data Engineers to release early and often.
- Help GDIA Partners understand our iterative development approach and focus on delivering a Minimum Viable Product through careful and deliberate prioritization.
- Mentor and train other Data Engineers to help them learn agile methods and build skills.
- Help innovate and iterate on agile processes and share our learnings.
- Ensures Software Engineering excellence (e.g., best practices and quality) is achieved within the product team.
- Clearly communicate technology strategy and vision to team members and stakeholders
- Innovate and operate with an iterative, agile, and user-centric perspective
- Work in a Pair Programming environment by growing technical capabilities / expertise and providing guidance to other members on the team
Job Requirements
Details:
Experience Required
- 5+ years of work experience in data Engineering skill set
- Familiarity with Cloud tooling from vendors like GCP (Big Query)
- 5+ years of work experience in data Engineering skill set
- Familiarity with Cloud tooling from vendors like GCP (Big Query)
- Highly effective in working with Product Managers, Product Designers, Software Engineers, and business partners.
- Experience with GCP services (Vertex AI, BigQuery/Cloud Storage)
- Capable in Continuous Integration/Continuous Delivery tools and pipelines such as Jenkins, Maven, Gradle, GitHub, etc.
- Relevant experience with database (Teradata, Hadoop)
- Perform DevOps activities to support customers, and processes through our release cycles as well as production
- Experience in managing services in an enterprise cloud environment (GCP)
- Strong background in cloud computing and distributed systems
- Exceptional software engineering knowledge; OO Design Principles
- Strong analytical and problem-solving skills.