GCP DATA ENGINEER-NJ-Onsite

 Client- UPS

Location- NJ onsite.

Multiple Positions 

  - GCP DATA ENGINEER

  - Sr GCP Data engineer

  -  Sr GCP Architect

 Sr positions must have 15+ years exp and onsite NJ

To apply / details  send updated resume to chay@logic-loops.com 

Job Summary:

We are seeking a skilled Google Cloud Platform (GCP) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands-on experience with GCP data services, strong ETL/ELT development skills, and a solid understanding of data architecture, data modeling, data warehousing and performance optimization.

 

Key Responsibilities:

• Develop ETL/ELT processes to extract data from various sources, transform it, and load it into BigQuery or other target systems.

• Build and maintain data models, data warehouses, and data lakes for analytics and reporting.

• Design and implement scalable, secure, and efficient data pipelines on GCP using tools such as Dataflow, Pub/Sub, cloud run, Python and linux scripting.

• Optimize BigQuery queries, manage partitioning and clustering, and handle cost optimization.

• Integrate data from on-premise and cloud systems using Cloud Storage, and APIs.

• Work closely with DevOps teams to automate deployments using Terraform, Cloud Build, or CI/CD pipelines.

• Ensure security and compliance by applying IAM roles, encryption, and network controls.

• Collaborate with data analysts, data scientists, and application teams to deliver high-quality data solutions.

• Implement best practices for data quality, monitoring, and governance.

Required Skills and Experience:

• Bachelor’s degree in Computer Science, Information Technology, or related field.

• Minimum 8 years of experience in data engineering, preferably in a cloud environment.

• Minimum 3 years of hands-on and strong expertise in GCP services:

o BigQuery, Cloud storage, Cloud run, Dataflow, Cloud SQL, AlloyDB, Cloud Balancer, PubSub, IAM, Logging and Monitoring.

• Proficiency in SQL, Python and Linux scripting.

• Prior experience with ETL tools such as Datastage, Informatica, SSIS

• Familiarity with data modeling (star/snowflake) and data warehouse concepts.

• Understanding of CI/CD, version control (Git), and Infrastructure as Code (Terraform).

• Strong problem-solving and analytical mindset.

• Effective communication and collaboration skills.

• Ability to work in an agile and fast-paced environment.

• GCP Professional Data Engineer or Cloud Architect certification is a plus.