201 to 225 of 8,354 SQL Jobs

Cloud Experience automating and containerizing application deployments using technologies such Jenkins (CloudBees), Artifactory, Kubernetes, Docker, Ansible Experience developing system integrations using JSON REST, SOAP, SQL, Java, JavaScript and other integration technologies/languages. Working knowledge of Git and experience with development workflows in GitHub, Bitbucket or an equivalent tool At More ❯

as storage capacity, processing speed, and input/output requirements. REQUIRED TECHNICAL SKILLS Demonstrated experience with the following languages: Java/J2EE, C, C++, SQL, XML, XQuery, XPath, HTML/XHTML, CSS, Python, Shell Scripting, JSON, JavaScript. Demonstrated experience translating data insights into tools or analytic capabilities that inform operational More ❯

visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience with forecasting and statistical analysis Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such More ❯

FOR WHICH, YOU MUST BE A U.S. CITIZEN Qualifications Desired: Top Secret clearance Knowledge of programming languages such as Java, Golang, JavaScript Knowledge of SQL and experience with database management Knowledge of IAM, RBAC, and Zero Trust security models. Security certifications (CISSP, CISM, OSCP, AWS/Azure Security). Experience More ❯

FOR WHICH, YOU MUST BE A U.S. CITIZEN Qualifications Desired: Top Secret clearance Knowledge of programming languages such as Java, Golang, JavaScript Knowledge of SQL and experience with database management Knowledge of IAM, RBAC, and Zero Trust security models. Security certifications (CISSP, CISM, OSCP, AWS/Azure Security). Experience More ❯

Ruby, Go, Swift or similar object-oriented language. Experience with AWS - including but not limited to EC2, S3, RDS, Lambda and CloudFormation Experience of SQL and Windows severs would be beneficial Hands-on experience with microservices and distributed application architecture, such as containers, Kubernetes, and/or serverless technology. Proficient More ❯

enterprise and mission-critical environments. Software application testing methodologies (manual and automated). Software installation and deployment on secure networks. Database design and management (SQL, NoSQL, Oracle, etc.). Agile software development environments and DevOps practices. Automated testing tools (Selenium, JUnit, TestNG, or equivalent scripting for automation). ITIL Certification More ❯

compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise-level architecture design and implementation. Hands-on knowledge of database systems (SQL/NoSQL), ETL/ELT processes, and data modeling techniques. Exceptional leadership, communication, and stakeholder management skills. Ability to work in fast-paced, agile environments More ❯

data integration patterns, ETL/ELT, and modern data architectures. Be familiar with CI/CD practices in a data engineering context. Have excellent SQL and Spark (PySpark) skills. Have obtained experience in working with large, complex datasets and performance optimization. Exhibit strong leadership and communication skills. Demonstrate previous experience More ❯

in a variety of programming languages and technologies (e.g., Java, Python, C#, JavaScript, etc.) as well as frameworks and development tools. Experience with databases (SQL, NoSQL) and data storage architectures. Familiarity with system integration patterns, APIs, and web services. Experience with DevOps practices, CI/CD pipelines, and infrastructure automation More ❯

Our ideal candidate: Strong experience in Designing and delivering Azure based data platform solutions, technologies including: Azure Data Bricks, Azure Synapse Analytics. Azure MS SQL Managed Service/Azure PostgreSQL. Azure ADF and Data Bricks, Azure Functions, App Service, Logic App, AKS, Azure App Service, Web App. Good knowledge in More ❯

management tools such as HashiCorp Vault Experience: Cloud computing infrastructure or development (i.e., AWS, Microsoft Azure) Full-stack software development (i.e., Java, .NET, JavaScript, SQL) Utilizing Atlassian suite or equivalent (i.e., JIRA, Confluence, Bitbucket) Test automation frameworks (i.e., Selenium, Cypress) Configurating OIDC and OAuth applications SCA/Union/Intern More ❯

design, and distributed systems. Deep understanding of DevOps practices, CI/CD pipelines, and infrastructure as code (IaC). Familiarity with data architecture, databases (SQL/NoSQL), and big data technologies. Excellent problem-solving and analytical skills. Strong communication, leadership, and interpersonal abilities. Qualifications: Bachelor's or Master's degree More ❯

goals. Desirable Knowledge of Financial Markets, Particularly Oil, Gas, and Commodities. Business Analysis Skills including requirements gathering, process mapping, and data analysis. Experience with SQL, C#.Net, Git, Python (Panda, Numpy, ML libraries), and data visualization tools such as Power BI or Tableau. Benefits & perks Competitive salary Vitality health insurance and More ❯

Lake house and experience in micro services, API design, Kafka, Redis, MemCached, Observability (Datadog, Splunk, Grafana or similar), Orchestration (Airflow, Temporal). Proficient in SQL and in one or more DBMS: Oracle, PostgreSQL, Sybase, MongoDB, Cassandra, CockroachDB, MySQL, Couchbase, DynamoDB. Overall knowledge of the Software Development Life Cycle. Solid understanding More ❯

and maintaining CI/CD alm toolkit; Implementing Dynamics CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in More ❯

and maintaining CI/CD alm toolkit; Implementing Dynamics CRM Master Data Model using Azure Logic Apps and Power Automate. Desirable: Strong knowledge of SQL and data processing libraries like Pandas. Experience with Amazon Redshift or similar technologies. Knowledge of agile software development practices, and examples of providing leadership in More ❯

software development, ideally including the use of relational databases. Experience with scripting and object-oriented programming languages such as Python, Java, C++/C#, SQL, etc. Ability to troubleshoot complex processes, software issues, and software configuration. Excellent verbal and written communication skills and ability to interact professionally with a diverse More ❯

of experience in data analysis or a related field, preferably within a retail business environment. Strong proficiency in data analysis tools and software (e.g., SQL, Python, R, Excel) and visualization tools (e.g., Power BI, Tableau). Excellent quantitative and qualitative analytical skills with a solid attention to detail. Strong verbal More ❯

ensuring solutions deliver tangible business outcomes. Proven experience of building and deploying scalable predictive/ML solutions that deliver measurable business value. Proficiency in SQL and Python/R is essential. Hands-on experience with Databricks and Power BI is desirable. Familiarity with agile methodologies and tools (e.g., Jira, Azure More ❯

across the data platform. Knowledge, Skills and Experience: Essentia l Strong expertise in Databricks and Apache Spark for data engineering and analytics. Proficient in SQL and Python/PySpark for data transformation and analysis. Experience in data lakehouse development and Delta Lake optimisation. Experience with ETL/ELT processes for More ❯

but not essential (if newly qualified). Excellent academics. Highly analytical mindset. Strong skills in data manipulation and analysis using tools such as Excel, SQL, Python. Experience with BI tools like QuickSight, Tableau, Power BI, or Looker for dashboard creation and data visualisation. Demonstrable commercial or entrepreneurial acumen. Driven and More ❯

Master's degree in Computer Science, Engineering, or a related field. 7+ years of experience in data engineering or related roles. Advanced proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL). Extensive experience with big data technologies (e.g., Hadoop, Spark). Deep understanding of cloud platforms (AWS More ❯

using AVEVA Information Standards Manager or similar. IT Skills - Excellent working knowledge of databases and reporting A strong technical background in Oracle 12c, PL\SQL, ETL and data warehousing. Automation of processes using different scripting languages like PowerShell, CMD etc. Self-sufficient and be creative in defining reporting/data More ❯

scalability. Share knowledge across teams and contribute to a culture of data-driven decision-making. Skills and Qualifications Essential Technical and Analytical Proficiency in SQL and experience working with data warehouses (e.g. BigQuery). Demonstrated experience building dashboards and reports in tools such as Looker Studio, Power BI, Tableau, or More ❯