101 to 125 of 847 Permanent Performance Tuning Jobs

the-box capabilities, integrations, and strategic customizations. Technical Advisory & Governance: Act as a subject matter expert and technical advisor to clients and internal teams, providing guidance on platform capabilities, performance optimization, security, and scalability. Establish technical governance to ensure solution integrity. Requirement Analysis & Solution Design: Collaborate with business stakeholders to gather and analyze complex requirements, translating them into comprehensive … leveraging various integration methods (e.g., REST, SOAP, JDBC, MID Server). Technical Oversight & Quality Assurance: Provide technical oversight to development teams, ensuring adherence to architectural patterns, coding standards, and performance best practices. Participate in code reviews and ensure solution quality. Prototyping & Demonstrations: Lead the creation of technical prototypes and conduct demonstrations of proposed ServiceNow solutions, showcasing platform capabilities and … addressing client requirements. Performance Tuning & Optimization: Identify and address performance bottlenecks, ensuring the scalability and optimal performance of ServiceNow applications. Advanced Scripting & Development: Possess expert-level experience with ServiceNow scripting (Server-side JavaScript, GlideRecord, GlideSystem, UI Policies, Business Rules, Client Scripts, Script Includes) and the development of custom applications. Agile Leadership: Guide agile development teams from More ❯

the-box capabilities, integrations, and strategic customizations. Technical Advisory & Governance: Act as a subject matter expert and technical advisor to clients and internal teams, providing guidance on platform capabilities, performance optimization, security, and scalability. Establish technical governance to ensure solution integrity. Requirement Analysis & Solution Design: Collaborate with business stakeholders to gather and analyze complex requirements, translating them into comprehensive … leveraging various integration methods (e.g., REST, SOAP, JDBC, MID Server). Technical Oversight & Quality Assurance: Provide technical oversight to development teams, ensuring adherence to architectural patterns, coding standards, and performance best practices. Participate in code reviews and ensure solution quality. Prototyping & Demonstrations: Lead the creation of technical prototypes and conduct demonstrations of proposed ServiceNow solutions, showcasing platform capabilities and … addressing client requirements. Performance Tuning & Optimization: Identify and address performance bottlenecks, ensuring the scalability and optimal performance of ServiceNow applications. Advanced Scripting & Development: Possess expert-level experience with ServiceNow scripting (Server-side JavaScript, GlideRecord, GlideSystem, UI Policies, Business Rules, Client Scripts, Script Includes) and the development of custom applications. Agile Leadership: Guide agile development teams from More ❯

/Station displays for operators and engineers. Design, develop and maintain databases and data models for real-time power system applications (EMS/DMS/SCADA). Ensure high performance, reliability, and integrity of database system under real-time operational loads. Perform database tuning, indexing, query optimization, and performance monitoring. Develop and maintain scripts, APIs, and services … C, C++, PERL, Java or equivalent for application interfacing and scripting. Experience with Data Handling including real-time data acquisition, Historian integration, data replication, and logging. Previous experience with Performance Tuning & Monitoring e.g., Query optimization, indexing, and database health monitoring. Knowledge of Version control with Git, SVN, or equivalent. Desirable skills/knowledge/experience: Strong analytical and More ❯

/Station displays for operators and engineers. Design, develop and maintain databases and data models for real-time power system applications (EMS/DMS/SCADA). Ensure high performance, reliability, and integrity of database system under real-time operational loads. Perform database tuning, indexing, query optimization, and performance monitoring. Develop and maintain scripts, APIs, and services … C, C++, PERL, Java or equivalent for application interfacing and scripting. Experience with Data Handling including real-time data acquisition, Historian integration, data replication, and logging. Previous experience with Performance Tuning & Monitoring e.g., Query optimization, indexing, and database health monitoring. Knowledge of Version control with Git, SVN, or equivalent. Desirable skills/knowledge/experience: Strong analytical and More ❯

/Station displays for operators and engineers. Design, develop and maintain databases and data models for real-time power system applications (EMS/DMS/SCADA). Ensure high performance, reliability, and integrity of database system under real-time operational loads. Perform database tuning, indexing, query optimization, and performance monitoring. Develop and maintain scripts, APIs, and services … C, C++, PERL, Java or equivalent for application interfacing and scripting. Experience with Data Handling including real-time data acquisition, Historian integration, data replication, and logging. Previous experience with Performance Tuning & Monitoring e.g., Query optimization, indexing, and database health monitoring. Knowledge of Version control with Git, SVN, or equivalent. Desirable skills/knowledge/experience: Strong analytical and More ❯

/Station displays for operators and engineers. Design, develop and maintain databases and data models for real-time power system applications (EMS/DMS/SCADA). Ensure high performance, reliability, and integrity of database system under real-time operational loads. Perform database tuning, indexing, query optimization, and performance monitoring. Develop and maintain scripts, APIs, and services … C, C++, PERL, Java or equivalent for application interfacing and scripting. Experience with Data Handling including real-time data acquisition, Historian integration, data replication, and logging. Previous experience with Performance Tuning & Monitoring e.g., Query optimization, indexing, and database health monitoring. Knowledge of Version control with Git, SVN, or equivalent. Desirable skills/knowledge/experience: Strong analytical and More ❯

Job Design, build, and maintain robust data systems and pipelines that support data storage, processing, and analysis on the Cloud. Work with large datasets, ensuring data quality, scalability, and performance, while collaborating. Key Accountabilities Design and implement scalable, efficient, and secure data architectures, ensuring optimal data flow across systems in order to achieve high service levels of support, maintenance … resource requirements are understood and planned/estimated effectively against demand, including identification of additional temporary resource capability within projects Maintain appropriate process procedures, compliance and service level monitoring, performance reporting and vendor management. Implementing best practices around data security, privacy, and compliance for the teams compliance with cyber security and data protection and supporting along with BI lead … Python (Pandas) Experience in change and release management. Experience in Database Warehouse design and data modelling Experience managing Data Migration projects. Cloud data platform development and deployment. Experience of performance tuning in a variery of database settings. Experience of Infrastructure as code practices. Proven ability to organise and produce work within deadlines. Skills Good project and people management More ❯

Job Design, build, and maintain robust data systems and pipelines that support data storage, processing, and analysis on the Cloud. Work with large datasets, ensuring data quality, scalability, and performance, while collaborating. Key Accountabilities Design and implement scalable, efficient, and secure data architectures, ensuring optimal data flow across systems in order to achieve high service levels of support, maintenance … resource requirements are understood and planned/estimated effectively against demand, including identification of additional temporary resource capability within projects Maintain appropriate process procedures, compliance and service level monitoring, performance reporting and vendor management. Implementing best practices around data security, privacy, and compliance for the teams compliance with cyber security and data protection and supporting along with BI lead … Python (Pandas) Experience in change and release management. Experience in Database Warehouse design and data modelling Experience managing Data Migration projects. Cloud data platform development and deployment. Experience of performance tuning in a variery of database settings. Experience of Infrastructure as code practices. Proven ability to organise and produce work within deadlines. Skills Good project and people management More ❯

Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting. Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design. Lead the development of data architecture and standards across Azure Data Lake and Synapse environments. Contribute to the migration to Microsoft Fabric, shaping platform … CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure Data Lake: Deep understanding of More ❯

Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting. Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design. Lead the development of data architecture and standards across Azure Data Lake and Synapse environments. Contribute to the migration to Microsoft Fabric, shaping platform … CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure Data Lake: Deep understanding of More ❯

Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting. Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design. Lead the development of data architecture and standards across Azure Data Lake and Synapse environments. Contribute to the migration to Microsoft Fabric, shaping platform … CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure Data Lake: Deep understanding of More ❯

Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting. Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design. Lead the development of data architecture and standards across Azure Data Lake and Synapse environments. Contribute to the migration to Microsoft Fabric, shaping platform … CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure Data Lake: Deep understanding of More ❯

Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting. Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design. Lead the development of data architecture and standards across Azure Data Lake and Synapse environments. Contribute to the migration to Microsoft Fabric, shaping platform … CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure Data Lake: Deep understanding of More ❯

Develop scalable and optimised data models in Azure Synapse Analytics for analytical and operational reporting. Govern and enhance Power BI datasets and semantic models, ensuring best practice in DAX, performance tuning, and report design. Lead the development of data architecture and standards across Azure Data Lake and Synapse environments. Contribute to the migration to Microsoft Fabric, shaping platform … CI/CD. Technical Skills Azure Data Factory: Expert in building, automating, and optimising ETL pipelines. Azure Synapse Analytics: Strong experience with dedicated SQL pools, data warehousing concepts, and performance tuning. Power BI: Advanced experience managing enterprise models, datasets, and governance processes. SQL: Expert-level proficiency in query design, optimisation, and data transformation. Azure Data Lake: Deep understanding of More ❯

Up to c. £225k Comp Package | Hybrid Working - 3 Days in Office] Role Overview We’re representing a global trading and digital assets firm at the forefront of high-performance technology and infrastructure innovation. The business is seeking a Site Reliability & Infrastructure Engineer to help design, automate, and scale the systems that underpin its global trading platforms. This role … AWS) and on-prem environments Implement automation across the stack using Infrastructure-as-Code principles (Terraform, Ansible, or similar) Administer and optimise Kubernetes clusters across multiple regions, improving resilience, performance, and visibility Develop tools and scripts in Python or Go to automate monitoring, configuration, and incident response workflows Contribute to on-prem colocation expansion projects, introducing low-latency engineering … practices into the infrastructure Optimise Linux systems for performance and reliability, including kernel tuning and networking configuration Partner with development and platform teams to embed SRE best practices, reducing manual toil through automation and observability Drive improvements in monitoring, alerting, and log collection pipelines to enhance system insight and uptime Participate in architecture and design reviews, guiding platform More ❯

Up to c. £225k Comp Package | Hybrid Working - 3 Days in Office] Role Overview We’re representing a global trading and digital assets firm at the forefront of high-performance technology and infrastructure innovation. The business is seeking a Site Reliability & Infrastructure Engineer to help design, automate, and scale the systems that underpin its global trading platforms. This role … AWS) and on-prem environments Implement automation across the stack using Infrastructure-as-Code principles (Terraform, Ansible, or similar) Administer and optimise Kubernetes clusters across multiple regions, improving resilience, performance, and visibility Develop tools and scripts in Python or Go to automate monitoring, configuration, and incident response workflows Contribute to on-prem colocation expansion projects, introducing low-latency engineering … practices into the infrastructure Optimise Linux systems for performance and reliability, including kernel tuning and networking configuration Partner with development and platform teams to embed SRE best practices, reducing manual toil through automation and observability Drive improvements in monitoring, alerting, and log collection pipelines to enhance system insight and uptime Participate in architecture and design reviews, guiding platform More ❯

Up to c. £225k Comp Package | Hybrid Working - 3 Days in Office] Role Overview We’re representing a global trading and digital assets firm at the forefront of high-performance technology and infrastructure innovation. The business is seeking a Site Reliability & Infrastructure Engineer to help design, automate, and scale the systems that underpin its global trading platforms. This role … AWS) and on-prem environments Implement automation across the stack using Infrastructure-as-Code principles (Terraform, Ansible, or similar) Administer and optimise Kubernetes clusters across multiple regions, improving resilience, performance, and visibility Develop tools and scripts in Python or Go to automate monitoring, configuration, and incident response workflows Contribute to on-prem colocation expansion projects, introducing low-latency engineering … practices into the infrastructure Optimise Linux systems for performance and reliability, including kernel tuning and networking configuration Partner with development and platform teams to embed SRE best practices, reducing manual toil through automation and observability Drive improvements in monitoring, alerting, and log collection pipelines to enhance system insight and uptime Participate in architecture and design reviews, guiding platform More ❯

operations. What you’ll do Design & build: Develop and maintain backend services and microservices using Java. Collaborate broadly: Work with cross-functional teams to deliver scalable telecom solutions. Optimise performance: Integrate databases, APIs, and ensure efficiency across systems. Harden systems: Implement redundancy, security, and performance tuning for telecom operations. Problem-solve: Troubleshoot challenges in distributed systems and … architectures. Background in distributed systems, OOP, and networking fundamentals. Cloud environment experience (AWS, GCP, etc.), plus Docker/Kubernetes and CI/CD. Proven track record optimising apps for performance, memory, and scalability. SQL/NoSQL database experience, including deployment and integration. Knowledge of messaging systems (Kafka, RabbitMQ, Pub/Sub). Excellent communication and analytical skills. Nice to More ❯

Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable … well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance … data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with data More ❯

Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable … well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance … data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with data More ❯

Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable … well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance … data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with data More ❯

Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable … well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance … data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with data More ❯

Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable … well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance … data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with data More ❯

Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable … well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance … data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with data More ❯

Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable … well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and systems - Automate data workflows and processes to improve efficiency and reduce manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance … data engineering or software development - Strong proficiency in Python and PySpark - Hands-on experience with AWS services, especially EMR, S3, Lambda, and Glue - Deep understanding of Snowflake architecture and performance tuning - Solid grasp of data modeling, warehousing concepts, and SQL optimization - Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions) and infrastructure-as-code - Experience with data More ❯