GCP Data Engineer

Position : GCP Data Engineer

Location : Dearborn, Michigan (Onsite)

Term : C2C/W2 role

Exp : 10+ Yrs

Job Description :

Basic Requirement:

Seeking an experienced Data Engineer to design, build, and maintain our data infrastructure on Google Cloud Platform (GCP). The ideal candidate will possess a strong understanding of data architecture, extensive GCP experience, and proficiency in SQL, Python, ETL/ELT tools, and BI tools. This role will collaborate closely with product owners, analysts, and business stakeholders to ensure data accessibility, reliability, and security.

Qualifications:

• Education: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Experience:
• Minimum of 5 years of experience as a Data Engineer.
• Proven experience in designing and building data pipelines and data infrastructure on Google Cloud Platform (GCP).
• Strong understanding of data architecture principles, data modeling techniques, and data governance practices.
• Technical Skills:
• Cloud Computing: Expertise with Google Cloud Platform (GCP) data services, including BigQuery, Cloud Storage and Pub/Sub.
• SQL: Advanced SQL skills, including data manipulation, data definition, and query optimization.
• Programming: Proficiency in Python and experience with data engineering libraries such as Pandas, NumPy, and Apache Beam.
• ETL/ELT Tools: Experience with ETL/ELT tools such as Apache Airflow, DataFlow/DataProc, or Qlik Data Integration.
• Data Modeling: Experience with data modeling techniques (e.g., relational modeling, dimensional modeling, data vault).
• BI Tools: Familiarity with BI tools such as Qlik Sense, Power BI, or Looker.
• Data Warehousing: Understanding of data warehousing concepts and principles.
• Data Governance: Knowledge of data governance principles and practices, some experience in DataPlex.
• Version Control: Experience with Git or other version control systems.

Bonus Points:

• Google Cloud certifications (e.g., Google Cloud Certified Professional Data Engineer).
• Experience with DevOps practices and tools (e.g., CI/CD, Terraform, Docker).

Company Overview:

Cloud BC Labs Inc is a digital transformation organization aimed at creating seamless solutions for clients to effectively manage their business operations. The company specializes in Business and Management Consulting, AI/ML, Data Analytics & Visualization, Cloud Data Warehouse Migration, Snowflake Implementation, Informatica Implementation & Upgrade, Staffing Services and Data Management Solutions.