Hiring! W2 Contract- Google Cloud Platform Data Engineer with Bigquery, Snowflake, Matillion experience
Posted 2 days ago by PropelSys Technologies LLC.
Negotiable
Undetermined
Remote
Remote or New Jersey
Summary: The role is for a Google Cloud Platform Data Engineer with expertise in BigQuery and Snowflake, focusing on designing and building scalable data products. The position involves collaborating with stakeholders to create analytical solutions that support business decisions. The engineer will also optimize ETL/ELT processes and provide technical leadership within an agile team. This is a remote position based in Secaucus, NJ.
Key Responsibilities:
- Design, develop, and maintain scalable and reliable data pipelines and data products within the Google Cloud Platform ecosystem.
- Build and optimize ETL/ELT processes using tools like Dataflow, Dataform, and Matillion.
- Leverage Google BigQuery for data modeling, storage, and delivery for analytics.
- Develop analytics solutions for BI and data visualization platforms such as Quick Suite or Looker.
- Gather requirements and translate them into technical design specifications.
- Write clean, efficient, and well-tested application software, including SQL scripts.
- Troubleshoot, debug, and resolve data and application issues.
- Provide technical leadership and mentorship within the team.
- Partner with external vendors on co-development initiatives.
- Maintain communication with the Information Engineering Technical Lead regarding project status.
- Ensure compliance with departmental SOPs and contribute to process improvements.
Key Skills:
- Experience with Google Cloud Platform, BigQuery, and Snowflake.
- Proficiency in ETL/ELT processes and tools like Dataflow, Dataform, and Matillion.
- Strong SQL skills for application software development.
- Ability to develop analytics solutions for BI and data visualization.
- Experience in troubleshooting and debugging data and application issues.
- Strong communication and collaboration skills.
- Technical leadership and mentorship capabilities.
Salary (Rate): undetermined
City: Secaucus
Country: United States
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role - Google Cloud Platform Data Engineer with Bigquery, Snowflake experience
Location - Secaucus, NJ(Remote)
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.