Euclid Innovations
Charlotte / Global
GET
The Big Jobsite
You have blocked notifications
Oops! You have blocked notifications. Click here for more info
You have blocked notifications, please check your browser settings.
You're currently subscribed to job notifications
Subscribe to notifications
You will no longer receive notifications
Charlotte / Global
Key Responsibilities Design and build scalable ETL/data pipelines using Spark and Python
Develop data workflows to ingest, transform, and move large datasets
Implement data routing logic to direct data to: GCP (BigQuery, Dataflow, Dataproc)
On-prem platforms (DPC)
Ensure data quality, validation, and reconciliation across systems
Collaborate with data science and platform teams to support predictive model pipelines
Optimize performance and scalability for high-volume data processing
Required Skills Strong hands-on experience with Apache Spark / PySpark for large-scale data processing
Proficiency in Python for data engineering (ETL pipelines)
Experience designing and developing data pipelines / data engineering workflows
Solid background in ETL, data ingestion, transformation, and data movement
Experience working with big data technologies and handling large datasets (batch/streaming)
Experience with cloud platforms - GCP (Google Cloud Platform) BigQuery, Dataflow, Dataproc, GCS (Google Cloud Storage)
Experience with data migration / data integration projects
Understanding of data pipeline architecture and distributed systems
Charlotte / Global
Charlotte / Global
Charlotte / Global
Charlotte / Global
Charlotte / Global
Charlotte / Global