Google Cloud Platform Data Engineer/Architect(SQL, Python, ETL/ELT, CI/CD, linux scripting, Data modeling) with certification- NJ-Onsite- need locals- 15+ years must

  • Jersey City, NJ
  • Posted 1 day ago | Updated 1 day ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

Agile
Analytical Skill
Cloud Storage
Conflict Resolution
Continuous Delivery
Clustering
Collaboration
Analytics
Computer Science
Continuous Integration
Data Architecture
Data Warehouse
Effective Communication
Extract, Transform, Load
Datastage
ELT
Data Engineering
Data Modeling
Data Quality
Encryption
Data Flow
Good Clinical Practice
Cloud Computing
DevOps
Google Cloud Platform
Informatica
Management
Performance Tuning
Reporting
Snow Flake Schema
Problem Solving
Microsoft SSIS
Network
IBM InfoSphere DataStage
Optimization
Regulatory Compliance
Information Technology
Git
Terraform
SQL
Linux
Google Cloud
Scripting
Python

Job Details

Google Cloud Platform DATA ENGINEER

Job Summary: We are seeking a skilled Google Cloud Platform (Google Cloud Platform) Data Engineer to design, build, and optimize data pipelines and analytics solutions in the cloud. The ideal candidate must have hands-on experience with Google Cloud Platform 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 Google Cloud Platform 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 Google Cloud Platform 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.

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

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