601 to 625 of 10,597 SQL Jobs

for data and industry best practices in a dynamic environment. Proficiency in technologies such as Spark/PySpark, Azure Data services, Python or Scala, SQL, testing frameworks, open table formats, CI/CD workflows, and cloud infrastructure management. Excellent communication, analytical, and problem-solving skills. Broad expertise in delivering data More ❯

JUnit, or Maven Experience using test management and defect tracking tools (e.g., TestRail, JIRA, Zephyr) Basic understanding of HTML, CSS, JSON, REST APIs, and SQL Testing Tools Automation Frameworks: Selenium, Cypress, Playwright TDM Tools: Delphix, IBM Optim, Informatica TDM CI/CD Tools: Jenkins, GitHub Actions, Azure DevOps Cloud & Containerization More ❯

on scalable architectures. Required Skills & Experience Experience: 3-5 years of hands-on experience with big data tools and frameworks. Technical Skills: Proficiency in SQL, Python, and data pipeline tools such as Apache Kafka, Apache Spark, or AWS Glue. Problem-Solving: Strong analytical skills with the ability to troubleshoot and More ❯

structures, supporting the marketing team to build their strategies by using extremely large volumes of complex data. You will be exploring datasets, writing complex SQL queries, building data pipelines, and data visualization solutions with AWS Quicksight. You will also be building new Machine Learning models to predict the outcomes of More ❯

in Statistics, Computer Science, Mathematics, or a related quantitative field. • 3+ years of experience developing ETL pipelines using SAS, Python, or R. • Proficiency in SQL, NoSQL, or MySQL queries. • 3+ years of developing visual analytics reports in SAS Visual Analytics, SAS Visual Investigator, SAS Studio, Tableau, QlikView or similar technology. More ❯

such as JavaScript (including modern open-source libraries), Angular, HTML, CSS, XML, JSON. Back-end technologies including Oracle, Postgres, MongoDB, Redis, Elastic Search, Solr, SQL, Node.js with Typescript, Server-Side Languages (Java, etc.), and AI technologies. Analytic and visualization technologies such as Python, large language models, natural language processing algorithms More ❯

motivation to learn more Working experience in JavaScript, HTML, CSS or good knowledge in this area with motivation to learn more Good knowledge of SQL and database Testing frameworks for unit, integration and E2E tests Organized and reliable, attentive to detail, able to efficiently manage multiple tasks Excellent communication skills More ❯

of Kafka Streams , Connect, or the Confluent Kafka platform. Data Engineering Skills : Hands-on experience with ETL tools and data ingestion processes . Strong SQL skills , with the ability to write optimized and scalable queries. Or, Proficiency in at least one programming language ( Python , Java, Scala, or .NET). CI More ❯

or similar AML/KYC management software (minimum of 3 years). Experience in system configuration, customization, and integration of financial applications. Proficiency in SQL and data query languages to extract and manipulate data. Familiarity with reporting and analytics tools used in conjunction with Fenergo (e.g., Microsoft Excel, Power BI More ❯

to drive business decisions Required Skills Data Analysis with Supply Chain background Machine learning and operations research with team leading skills Proficiency in R, SQL, and Python (knowledge of Scala, Java, or C++ is a plus) Experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop) Strong math More ❯

for each group. At least 6 years of related experience, including at least 4 years in a hands-on data engineering role. Proficient in SQL Experience in Data Movement Tools: Datastage/Informatica ETL Database: DB2, Data Engineering, Data Architecture Methodologies: Agile Proficient in relational database modeling concepts and techniques. More ❯

identify and debug issues Test, troubleshoot, and debug pipelines Write technical documentation as required Product support Qualifications Experience with Python programming Strong experience with SQL Knowledge of data visualization tools like Sigma Computing, PowerBI, Tableau, or equivalent Experience in Machine Learning is a plus Strong understanding of development Tools such More ❯

the organization's operational efficiency. Supports customers with report creation, maintenance, and custom data requests for enterprise platforms like Tableau, Power BI, SSRS, and SQL scripts. Communicates system status and data issues to users. Conducts business analysis by gathering and documenting requirements, business rules, and data sources for new needs More ❯

and implement effective solutions. Required Skills Our ideal candidate will have: Commercial C# and .NET experience Experience with Entity Framework and LINQ Familiarity with SQL and query optimisation Experience in designing and implementing RESTful APIs Experience with version control systems (preferably Git) and associated CI/CD tooling Familiarity with More ❯

and implement effective solutions. Required Skills Our ideal candidate will have: Commercial C# and .NET experience Experience with Entity Framework and LINQ Familiarity with SQL and query optimisation Experience in designing and implementing RESTful APIs Experience with version control systems (preferably Git) and associated CI/CD tooling Familiarity with More ❯

and implement effective solutions. Required Skills Our ideal candidate will have: Commercial C# and .NET experience Experience with Entity Framework and LINQ Familiarity with SQL and query optimisation Experience in designing and implementing RESTful APIs Experience with version control systems (preferably Git) and associated CI/CD tooling Familiarity with More ❯

to how your insights create business impact using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js. Working knowledge of databases and SQL is desired. Preferred qualifications include linking analytic and data visualization products to database connections. Preferred experience with data science methods related to data architecture, data More ❯

AWS, Azure, Google Cloud) and on-premises servers. Database Management Implement changes/updates to database schemas, tables, indexes, and relationships. Write and optimize SQL queries, stored procedures, triggers, and scripts. Use ETL (Extract, Transform, Load) processes for data integration and migration. Monitor and analyze database performance to identify and More ❯

Amazon Web Services • Other: Java 8 and 17, Apache Tomcat 9.0, Jasper Reports, Jenkins, GitLab/GitHub, Jira, Confluence, Wrappers, Eclipse, MySQL Workbench, Oracle SQL Developer, Windows Server, Docker Location: • Washington, DC (90K Street or Ronald Reagan Building) & Remote (2 days per pay period onsite in DC) Travel Requirements: • Travel More ❯

Azure, Google Cloud) and on-premises servers. 2. Database Management Implement changes/updates to database schemas, tables, indexes, and relationships. Write and optimize SQL queries, stored procedures, triggers, and scripts. Use ETL (Extract, Transform, Load) processes for data integration and migration. Monitor and analyze database performance to identify and More ❯

Elastic Search. Cyber Security Focus: Strong understanding of cyber security principles, including threat detection, incident response, and security operations. Technical Expertise: Proficiency in Python, SQL, and relevant data science libraries (e.g., pandas, scikit-learn, TensorFlow) and experience working with SIEM tools like Splunk and Elastic Search. Advanced Analytics & ML: Proven More ❯

needs. Architect and optimize data platforms to enable efficient data collection, storage, and processing. Implement and manage cloud-native services, including compute, storage, databases (SQL & NoSQL), and serverless architectures. Ensure cost-efficient and optimized cloud usage. Networking Focus: Design and implement secure networking solutions using AWS networking services such as More ❯

needs. Architect and optimize data platforms to enable efficient data collection, storage, and processing. Implement and manage cloud-native services, including compute, storage, databases (SQL & NoSQL), and serverless architectures. Ensure cost-efficient and optimized cloud usage. Networking Focus: Design and implement secure networking solutions using AWS networking services such as More ❯

Test Automation Familiarity with CI/CD tools like Jenkins, GitLab CI, or similar. Experience with version control systems (e.g., Git). Knowledge of SQL and database testing. Knowledge of LLM models Leadership Skills: Proven experience in leading and managing a team. Excellent communication and interpersonal skills. Strong organizational and More ❯

needs. Architect and optimize data platforms to enable efficient data collection, storage, and processing. Implement and manage cloud-native services, including compute, storage, databases (SQL & NoSQL), and serverless architectures. Ensure cost-efficient and optimized cloud usage. Networking Focus: Design and implement secure networking solutions using AWS networking services such as More ❯