Job Title - Data Analytics Engineer
Location - Secaucus, NJ(Remote)
Job Type Contract - W2
Mandatory skills: Google Cloud Platform, Big Query, Dataflow, Looker, and Python
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Data form, and Big Query.
- Implement data modeling, transformation, and orchestration best practices for analytics workflows.
- Collaborate with data scientists, analysts, and business teams to deliver insights via Looker dashboards and reports.
- Ensure data reliability, quality, and governance across multiple data sources.
- Optimize Big Query queries, partitions, and clustering for performance and cost efficiency.
- Write Python scripts for automation, data processing, and integration with APIs.
- Implement CI/CD practices for data pipeline deployments.
- Monitor, troubleshoot, and improve data infrastructure performance and reliability.
- Document data models, pipelines, and dashboards to ensure transparency and maintainability
Rate:
Not specified
Location:
Secaucus
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Not Specified