Data Analytics Technology Specialist at Ford Global Career Site

Dearborn Heights, Michigan, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP BigQuery, SQL, Data Warehousing, Cloud Computing, Terraform, GitHub, CI/CD Pipelines, Technical Support, ETL Tools, Data Modeling, Schema Design, SQL Performance Tuning, Agile Methodologies, Customer Support, Problem Solving, Analytical Skills, Communication Skills

Industry

Motor Vehicle Manufacturing

Description

Collaborate with internal teams to resolve technical issues and communicate updates to customers, while continually monitoring and analyzing customer feedback to identify areas for improvement in GCP BigQuery's performance and functionality. Test and deploy new features to enhance GCP BigQuery service to improve customer experience Respond to customer inquiries and support tickets in a timely and professional manner Troubleshoot technical issues related to GCP BigQuery, including SQL queries, data ingestion and export, and security settings Escalate complex issues to senior technical support personnel or engineering teams as necessary Coordinate with internal teams to ensure timely resolution of customer issues Stay up-to-date on new GCP BigQuery features and capabilities, and communicate these to customers as appropriate Participate in the development of customer-facing documentation, training materials, and knowledge base articles to improve customer self-service capabilities Collaborate with engineering and product teams to identify and communicate product bugs, feature requests, and opportunities for improvement Willing to provide 24x7 Production support on rotation basis Required to work on weekends, off hours, holidays on rotation basis Bachelor's degree in Computer Science, Information Systems, or related field. 8+ years of experience in a technical support role, with a focus on data warehousing or cloud computing. Experience developing solutions using IAC. Experience working with GCP BigQuery, SQL, and related Google Cloud Platform tools (e.g. Dataform, Dataflow, Dataproc, etc.) Experience in developing Terraform modules Experience in developing GitHub/CI/CD pipelines to deploy IAC (Infrastructure As Code) Ability to troubleshoot complex technical issues and work under pressure to meet tight deadlines Strong understanding of data warehousing and cloud computing concepts Good understanding and overall knowledge of Google Cloud Platform and how the GCP native services operate Knowledge of GCP BigQuery ML, Gemini and GCP BigQuery Data transfer tools Strong understanding and experience in migrating applications to BigQuery Knowledge of agile methodologies and tools (e.g. GitHub etc.) Deep understanding and experience in SQL performance tuning Knowledge of ETL tools and processes Experience with data modeling and schema design Excellent analytical and problem-solving skills Strong written and verbal communication skills Ability to work independently and as part of a team Desire to continually learn and grow in a dynamic and fast-paced environment Certifications in GCP preferred

Responsibilities

The Data Analytics Technology Specialist will collaborate with internal teams to resolve technical issues and communicate updates to customers. They will also monitor customer feedback to improve GCP BigQuery's performance and deploy new features to enhance the customer experience.