- Work in collaborative environment that leverages paired programming
- Work on a small agile team to deliver curated data products
- Work effectively with fellow data engineers, product owners, data champions and other technical experts
- Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions
- Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles
- Be the Subject Matter Expert in Data Engineering with a focus on GCP native services and other well integrated third-party technologies
- 5+ years of SQL development experience
- 5+ years of analytics/data product development experience required
- 3+ years of cloud experience (GCP preferred) with solutions designed and implemented at production scale
- Experience working in GCP native (or equivalent) services like Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc, Cloud Build, etc.
- Experience working with Airflow for scheduling and orchestration of data pipelines
- Experience working with Terraform to provision Infrastructure as Code
- 2 + years professional development experience in Java or Python
- In-depth understanding of Google's product technology (or other cloud platform) and underlying architectures
- Experience in working with DBT/Dataform
- Experience with DataPlex or other data catalogs is preferred
- Experience with development eco-system such as Tekton, Git, Jenkins for CI/CD pipelines
- Exceptional problem solving and communication skills
- Experience in working with Agile and Lean methodologies
- Team player and attention to detail
- Experience with performance tuning SQL queries
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gcp data engineer - Detroit, United States - Agile Tech Labs
Description
Title:
Senior GCP Data EngineerLocation: Dearborn, Michigan [Hybrid]Type: Full Time
To be considered for an interview, please make sure your application is full in line with the job specs as found below.
Description:
Experience with large scale solution and operationalization of data lakes, data warehouses, and analytics platforms on Google Cloud Platform or other cloud environments is a must
You will:
Experience Required:
Experience Preferred: