What are the responsibilities and job description for the Google Cloud Platform Data Engineer position at Miracle Software Systems, Inc.?
Job Details
#W2 Only #No contract & 1099 profiles please
Google Cloud Platform Data Engineer
Location: Dearborn, MI | Hybrid
Position 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 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 provide guidance to other members on the team
Required Skills:
- Master's degree in Computer Science, Information Technology, or equivalent experience
- 5 years of work experience in data Engineering skill set
- Familiarity with Cloud tooling from vendors like Google Cloud Platform (Big Query)
- Highly effective in working with Product Managers, Product Designers, Software Engineers, and business partners.
- Experience with Google Cloud Platform 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 (Google Cloud Platform)
- Strong background in cloud computing and distributed systems
- Exceptional software engineering knowledge; OO Design Principles
- Strong analytical and problem-solving skills.
Experience Required:
- Bachelor's degree in Computer Science, Information Technology, or equivalent experience
- 5 years of work experience in data Engineering skill set
- Familiarity with Cloud tooling from vendors like Google Cloud Platform (Big Query)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
