Cloud Computing, Data Clustering, Data Management, Data Modeling, Data Partitioning, Database Extract Transform and Load (ETL), Enterprise Data Integration, GCP (Good Clinical Practices), Performance Analysis, Query Optimization, SQL (Structured Query Language), Scripting (Scripting Languages), Software Engineering, Structured Data, Unstructured Data
Job Title Lead Data EngineerLocation REMOTEDuration: Long Term contractMandatory skill:We are seeking a highly skilled Data Engineer with strong expertise in Google Cloud Platform (GCP) and BigQuery to support the design, development, and optimization of scalable data solutions. The role involves building cloud-native data pipelines, enabling advanced analytics, and supporting enterprise data integration initiatives.
Data Engineering & Development- Design and implement scalable data pipelines using GCP services (BigQuery, Dataflow, Cloud Composer, Pub/Sub)
- Develop and optimize data models and schemas in BigQuery for high-performance analytics
- Build and maintain ETL/ELT pipelines for ingesting structured and unstructured data
- Implement data partitioning, clustering, and query optimization strategies in BigQuery
- Ability to interpret and convert SQL, and CCL Scripts into a BigQuery along with integration with GCP.
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Resource Logistics, Inc.
500 to 999 employees
Medical Devices and Supplies