What are the responsibilities and job description for the Google Cloud Platform Data Engineer--W2 position at CogniSoft Technologies?
Job Details
Job Title: Google Cloud Platform Data Engineer
Workplace Type: Hybrid
Worksite Location:1 American Rd, Dearborn, Michigan, 48126-2701, United States
W2 Role:
Visa: and USC
Top Skills' Details
1. Data Engineer experience
2. Python, SQL
3. Google Cloud Platform or other Cloud experience
This team is looking for a Data Engineer to support the Data Platform where all the data is brought in and ingested before being used by the rest of GDIA. Looking for a Sr Data Engineer, with Cloud experience to help with data ingestion and mapping.
Secondary Skills - Nice to Haves
- Sql
- Data
- Google cloud
- AWS
Position Description:
GDIA DataTech is 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.
Skills Required:
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
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)
Education Required:
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.
Salary : $40 - $50