Healthcare Domain Data Analyst Remote work
New York, New York City, Richmond County, New York, USA
Listed on 2026-10-18
-
IT/Tech
Data Engineering, Data Analyst, Data Science Manager, Data Warehousing
Location: New York
Job Details
We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools. The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through Big Query, Dataflow, Dataform, Looker, and Python. This role bridges data engineering and analytics, ensuring reliable, accurate, and actionable insights for business stakeholders.
Job Role- Data Analytics Engineer
Location
- Secaucus, NJ(Remote)
Mode
- Contract || Long Term
We are seeking a skilled Data Analytics Engineer with strong experience in Google Cloud Platform (GCP) and expertise across modern data engineering and analytics tools. The ideal candidate will design, build, and optimize scalable data pipelines, ensure data quality, and enable advanced analytics and reporting through Big Query, Dataflow, Dataform, Looker, and Python. This role bridges data engineering and analytics, ensuring reliable, accurate, and actionable insights for business stakeholders.
Must Have - GCP, Big Query, Dataflow, Looker, and Python
Key Responsibilities- Design, develop, and maintain scalable ETL/ELT pipelines using Dataflow, Dataform, 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.
Thanks and Regards
Saurav Kumar
APPLAB Systems
S
Ext - 551
4365 Route 1 South, Suite 105
Princeton, NJ
-08540
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