Shrive Technologies
Responsibilities
Design and implement data pipelines to extract, transform and load data from various sources into a data warehouse
Develop and maintain data models and schemas to support business intelligence and analytics applications
Optimize data storage and retrieval systems for performance and scalability
Collaborate with data scientists and analysts to develop and deploy machine learning models and algorithms
Implement data governance policies and procedures to ensure data quality, security, and compliance
Develop and maintain ETL workflows using tools
Design and implement data integration solutions for third‑party applications and services
Conduct performance tuning and optimization of database systems and queries
Mentor and train junior data engineers and other team members on best practices and emerging technologies in data engineering.
Build and manage DevOps & DataOps CI/CD pipelines and automated deployments
Prepare technical design documents and SLA agreements
Ensure effective communication and status reporting.
Provide the resources required to deliver on deliverables
Require expertise in SAP BODS, Oracle, DWH, SAP DI and domain knowledge of the resources.
Location: Chicago, IL
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Design and implement data pipelines to extract, transform and load data from various sources into a data warehouse
Develop and maintain data models and schemas to support business intelligence and analytics applications
Optimize data storage and retrieval systems for performance and scalability
Collaborate with data scientists and analysts to develop and deploy machine learning models and algorithms
Implement data governance policies and procedures to ensure data quality, security, and compliance
Develop and maintain ETL workflows using tools
Design and implement data integration solutions for third‑party applications and services
Conduct performance tuning and optimization of database systems and queries
Mentor and train junior data engineers and other team members on best practices and emerging technologies in data engineering.
Build and manage DevOps & DataOps CI/CD pipelines and automated deployments
Prepare technical design documents and SLA agreements
Ensure effective communication and status reporting.
Provide the resources required to deliver on deliverables
Require expertise in SAP BODS, Oracle, DWH, SAP DI and domain knowledge of the resources.
Location: Chicago, IL
#J-18808-Ljbffr