Google Cloud Platform Data Engineer with Matillion Exp at at Secaucus, NJ (Remote)

Data Engineer (Google Cloud Platform, Matillion)

Secaucus, NJ (Remote)

Long Term Contract

Job Details:

• As a Data Engineer, you will be a key member of an agile team dedicated to designing, building, and scaling innovative business data products on a modern cloud data platform. You will collaborate closely with business stakeholders and IT partners to transform complex data requirements into robust, scalable, and reliable analytical solutions that drive business decisions.
• What You'll Do
• Design, develop, and maintain scalable and reliable data pipelines and data products within the Google Cloud Platform (Google Cloud Platform) ecosystem.
• Build and optimize ETL/ELT processes using tools like Dataflow, Dataform, and Matillion to ingest and transform data from a variety of sources.
• Leverage Google BigQuery to model, store, and deliver data for analytics and advanced business intelligence applications.
• Develop and maintain compelling analytics solutions for BI and data visualization platforms such as Quick Suite or Looker.
• Collaborate with stakeholders to gather requirements and translate them into detailed technical design specifications and discovery documentation.
• Write clean, efficient, and well-tested application software, including SQL scripts and procedures, ensuring it meets functional and performance requirements.
• Proactively troubleshoot, debug, and resolve data and application issues, providing post-implementation and rotational on-call support to ensure business continuity.
• Provide technical leadership and mentorship within the team, sharing expertise and promoting best practices.
• Partner with external vendors on co-development initiatives to deliver integrated solutions.
• Maintain clear and proactive communication with the Information Engineering Technical Lead and team members regarding project status, risks, and concerns.
• Ensure all solutions are compliant with departmental SOPs and contribute to process improvements.