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GCP Architect

Job in Secaucus, Hudson County, New Jersey, 07094, USA
Listing for: TechDigital Group
Full Time position
Listed on 2025-11-25
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing, Data Science Manager
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
General Description
  • 8+ years of experience in Data Engineering or L3 level support in data Analytics
  • Experience with Data Lake, data warehouse ETL pipeline development and design
  • Hands-on experience with GCP data and analytics services such as Cloud Data Proc, Cloud Dataflow, Cloud Dataprep, Apache Beam/Composer, Cloud Big Query
  • Data Pipeline Development:
    Design, develop, and maintain ETL/ELT pipelines for seamless data flow using DBT or GCP Big Query
  • Data Modelling:
    Implement and manage data models in Big Query to support analytics and reporting
  • Version Control:
    Use GIT for managing changes in data pipelines, schemas, and code
  • Strong coding skills in SQL, Python, or Java
Technical Requirements
  • Create and support data models and implement ETL processes based on business needs
  • Monitor data quality to ensure accuracy and availability for stakeholders
  • Maintain company data lake (UDP) and regional platforms data streaming from Apache Kafka
  • Develop scalable data pipelines and API integrations for increasing data volumes
  • Collaborate with analytics and business teams to enhance data models for BI tools
  • Write unit/integration tests, document work, and contribute to engineering wiki
  • Troubleshoot data issues through analysis
  • Work with frontend/backend engineers, product managers, and analysts
  • Design data integrations and data quality frameworks
  • Evaluate open source and vendor tools for data lineage
  • Develop long-term data platform strategies in collaboration with business units
  • Plan and maintain data architectures aligned with business needs
  • Support digital projects by understanding solutions and data structures
  • Create reports, dashboards, and datasets for business users
  • Maintain existing reports and dashboards
Soft Skills
  • Excellent communication and presentation skills
  • Problem-solving and critical thinking abilities
  • Project management and organizational skills
  • Team collaboration and leadership
  • Market awareness and client focus
Certifications (Optional)
  • Google Professional Data Engineer
  • Google Professional Data Architect
Educational Qualifications

Bachelor's Degree in Computer Science, Computer Engineering, or related field

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