The Data Engineer will build, manage and optimize data pipelines and move these data pipelines effectively into production for key data and analytics consumers across the enterprise.
Responsibilities
Create, maintain, and optimize data pipelines from development to production for specific use cases.
Use innovative and modern tools, data services, techniques, and well architected frameworks to automate the most-common, repeatable and tedious data preparation and integration tasks.
Assist with optimizing the data management infrastructure to drive automation in data integration and management.
Implement and use modern data preparation, integration and AI-enabled metadata management tools and techniques.
Track data consumption patterns.
Requirements
Bachelor's Degree in Computer Science/Engineering or equivalent experience
The Data Engineer will build, manage and optimize data pipelines and move these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any business partner that needs curated data for data and analytics use cases across the enterprise.
Responsibilities
Create, maintain, and optimize data pipelines from development to production for specific use cases.
Use innovative and modern tools, data services, techniques, and well architected frameworks to automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity.
Assist with optimizing the data management infrastructure to drive automation in data integration and management.
Implementing and using modern data preparation, integration and AI-enabled metadata management tools and techniques. Including MLOps framework and infrastructure automation.
Tracking data consumption patterns
Requirements
Bachelor's Degree in Computer Science/Engineering or equivalent experience preferred
The Data Engineer will build, manage and optimize data pipelines and move these data pipelines effectively into production for key data and analytics consumers across the enterprise.
Responsibilities
Create, maintain, and optimize data pipelines from development to production for specific use cases.
Use innovative and modern tools, data services, techniques, and well architected frameworks to automate the most-common, repeatable and tedious data preparation and integration tasks.
Assist with optimizing the data management infrastructure to drive automation in data integration and management.
Implement and use modern data preparation, integration and AI-enabled metadata management tools and techniques, including MLOps framework and infrastructure automation.
Track data consumption patterns.
Requirements
Bachelor's Degree in Computer Science/Engineering or equivalent experience
The Data Engineer will build, manage and optimize data pipelines and move these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any business partner that needs curated data for data and analytics use cases across the enterprise.
Responsibilities
Create, maintain, and optimize data pipelines from development to production for specific use cases.
Use innovative and modern tools, data services, techniques, and well architected frameworks to automate the most-common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity.
Assist with optimizing the data management infrastructure to drive automation in data integration and management.
Implementing and using modern data preparation, integration and AI-enabled metadata management tools and techniques. Including MLOps framework and infrastructure automation.
Tracking data consumption patterns
Requirements
Bachelor's Degree in Computer Science/Engineering or equivalent experience
Senior Oracle Apps DBA responsible for basic and complex tasks associated with Oracle Application Management, focusing on Oracle E-Business Suite environments.
Compensation
Competitive, above-average compensation
Responsibilities
Performs Oracle EBS Applications database administration (DBA) tasks including patching, creating backup and recovery strategies, upgrading, performance tuning/optimization of Oracle EBS systems
Maintain a multi-node e-Business Suite environment with Shared File System, managing and administering Concurrent Managers, Concurrent Programs, Request Sets, Request Groups, Workflows, and troubleshooting Workflow Mailer/Notification issues
Utilizes Oracle Real Applications Clusters (RAC) with Oracle Automatic Storage Management (ASM) and Oracle Cluster Ready Services (CRS) in a Linux operating system (O/S)
Uses Oracle Recovery Manager (RMAN) and Data Guard for backup and disaster recovery
Uses Oracle Application Manager (OAM) and Oracle Enterprise Manager (OEM) Grid Control for proactive monitoring and notification of system status
Support gate-level glitch noise and static timing analysis (STA) methodologies for Apple silicon across advanced technology nodes.
Locations (2)
Austin, Texas, United States
Sunnyvale, California, United States
Responsibilities
Define and architect consistent noise and STA analysis methodology, margins, and tool/version qualification strategy
Own and drive flows and scripts for core gate-level noise and static timing analysis tools end to end
Conduct deep root-cause analysis of noise violations and timing-path anomalies
Serve as the technical authority and primary point of contact for design and Physical Design teams on noise/timing constraint, flow, and closure issues
Drive noise and STA methodology improvements using AI coding agents
Requirements
BS in Electrical Engineering, Computer Engineering, or related technical discipline
Database Administrator responsible for Progress OpenEdge database administration, performance tuning, disaster recovery, automation, and incident resolution within a hybrid work environment.
Compensation
Salary Range: $80,000 - $110,000 CAD. Compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Responsibilities
Oversee execution of technology projects
Lead transformation of delivery processes and tools
Work confidently in UNIX/Linux command-line environments
Write, modify, and maintain shell scripts
Install, configure, and maintain Progress OpenEdge databases
Provide bioinformatics and computational informatics support to users of Wayne State University’s Genomics Science Center, developing, maintaining, and optimizing computational workflows, scripts, and software tools for genomic data processing, analysis, and visualization.
Compensation
Hourly Rate: To be determined
Responsibilities
Design, develop, and maintain workflow management systems and automation scripts for Genome Sciences Core bioinformatics pipelines
Execute, troubleshoot, and optimize computational analyses for single-cell RNA sequencing and spatial transcriptomics datasets using R and Python workflows
Develop, test, and validate scripts and software tools to improve efficiency, reproducibility, and scalability of bioinformatics data processing and analysis
Document computational workflows, software, and analytical procedures; maintain code repositories and technical documentation
Develop and support custom Salesforce components, integration solutions, ETL processes, and automation scripts for Morgan Stanley’s Sales and Service teams.
Compensation
Expected base pay rates for the role will be between $171,000 and $171,000 per year at the commencement of employment.
Responsibilities
Customize and configure Salesforce platform
Build custom components and features for Sales and Service team
Design, implement, and maintain end-to-end integration solutions
Build and manage APIs, middleware, and batch jobs
Develop customized software solutions for Salesforce platform
Requirements
Master’s degree in Applied Computer Science, Information Technology, or a related field
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