651 to 675 of 5,657 DemandTrendPermanent SQL Jobs

with the ability to present this information in the best possible way depending on the audience.? Strong proficiency in Excel, including advanced formula creation, with working knowledge of PowerQuery, SQL, Alteryx, and Power BI/Tableau. Ability to discuss SAP capabilities when embedding new processes/changes into the department providing reasons and alternatives? Strong problem solving with the ability More ❯

with ETL tools such as SnapLogic, Boomi, or MuleSoft or experience building your own ETL pipelines. Experience building enterprise API Gateway solutions based around Rest or GraphQL. Experience with SQL, NoSQL or MQL. Experience with Infrastructure as Code tools like Terraform. Proficient in Git version control, including branching strategies and collaborative workflows. Familiarity with a rangeof technologies, including AWS services More ❯

culture within the team. Skills and experience 3+ years working in a marketing or related field as an analyst or senior analyst Experience of coding languages for analysis (Python & SQL preferred) Experience of platforms such as Salesforce Experience of developing wrireframes and creating dashboards High level Microsoft Word, Excel and PPT skills Proven record of delivering high quality outputs Attention More ❯

trends. Requirements Some experience or internship in a BI Analyst, Data Analyst, or similar role. Familiarity with BI tools such as Power BI, Tableau, or Looker. Basic knowledge of SQL and relational databases. Understanding of ETL concepts and data preparation techniques. Strong analytical thinking and attention to detail. Good communication and teamwork skills. Preferred Qualifications Exposure to data warehousing concepts More ❯

great Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in a STEM field. Data Tools: Prior experience with tools such as Excel, SQL, Python, Azure, Splunk and WireShark are highly beneficial for this role. Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's More ❯

and multitasking skills. We'd love to see: Exposure to Qlik Cloud's advanced features including Insight Advisor, AutoML, and NLP dashboards. 5+ years of database expertise, including advanced SQL and dimensional modeling. Consulting experience with demonstrated success solving diverse analytics challenges across multiple organizations, industries, or functions Experience with Qlik Mashups, AutoML, Insight Advisor, and NLP-driven analytics. Background More ❯

C#, Java, C++. Experience with front-end technologies (HTML, JavaScript, CSS, JavaScript Frameworks, etc.) is a plus. A solid computer science foundation including data structures and algorithms. Knowledge of SQL and experience in service-oriented architecture is a plus. Good written and verbal communication skills. Prior working experience in Scrum, or other Agile development methodologies, is preferred. Passion for engineering More ❯

Strong programming skills in Python. Understanding of machine learning/AI frameworks and libraries. Hands-on experience with cloud technologies and services (e.g., AWS, Azure, Google Cloud) Experience with SQL and/or Snowflake. Some experience with Generative AI technologies (e.g. Bedrock, Langchain, LangGraph). Terms like RAG and Graphs are nothing new for you. Proficiency in data preprocessing and More ❯

Skilled in the use of Windows OS across both virtual and hardware-based infrastructures, with knowledge of virtualization platforms like VMWare ESXi and Hyper-V. Good understanding of MS SQL & Oracle DB. Experience in automated software deployment technologies including MECM. Familiarity with backup solutions, monitoring tools, and endpoint management. Experience working with application virtualisation technologies. Experience in Microsoft 365/ More ❯

equivalent practical experience. 8+ years of professional experience in software development, with demonstrable technical leadership. Essential Experience : Strong hands-on experience with Node.js, TypeScript/JavaScript, React (or Remix), SQL/NoSQL databases, and CSS. Proven track record of leading Agile development teams. Experience designing and building cloud-based, scalable applications. Familiarity with test-driven development (TDD) and version control More ❯

Solid understanding of Linux administration, including server setup and maintenance. Knowledge of docker and orchestration tools. Strong knowledge of relational databases such as MySQL and proficiency in writing efficient SQL queries. Proficient understanding of code versioning tools, such as Git. Ability to work independently and collaboratively in a team environment. Excellent problem-solving and analytical skills. Strong communication and interpersonal More ❯

on the job! MSc or PhD, or equivalent experience in a quantitative field Deep theoretical knowledge of statistical methods and ML algorithms and their practical applications. Strong proficiency in SQL and Python, especially with core ML libraries (e.g. scikit-learn, XGBoost, SciPy, PyTorch) Extensive hands-on experience in taking advanced statistical/ML solutions from prototype to production and delivering More ❯

environment, using CI/CD tools such as Git, Bamboo, Jenkins, SonarQube Required Skills Experience developing against relational databases (e.g., Oracle, PostgreSQL) Experience developing against relational databases and solid SQL querying skills 1+ years experience with web services development 1+ years experience writing automated unit tests Good communication skills, both written and verbal Team player and ability to mentor developers More ❯

Snowflake, including performance optimisation, cost management, and advanced data warehousing techniques. Experience in designing and implementing scalable data architectures that meet the needs of complex, data-driven organisations. Strong SQL skills and a solid understanding of relational databases (e.g., PostgreSQL). Bonus: Advanced LookML knowledge and experience building data visualisation tools. Skilled in building and managing real-time and batch More ❯

specifically transitioning from MSMQ to Kafka. Ensuring applications are cloud-ready without unnecessary functionality rewrites. Person Specification Essential: Strong experience with .NET 6-8 and C#. Deep understanding of SQL and relational databases. Experience with Azure (or AWS) and cloud-based architectures. Knowledge of Kafka for messaging and event-driven processing. Proficiency in Docker and containerization. Strong experience developing and More ❯

oriented design principles. Exposure to Java frameworks such as Spring or Spring Boot (coursework or personal projects accepted). Familiarity with databases (e.g., MySQL, PostgreSQL, or Oracle) and basic SQL queries. Basic understanding of RESTful APIs and web services. Familiarity with development tools such as Git, IDEs (e.g., IntelliJ, Eclipse), and build tools (e.g., Maven or Gradle). Strong problem More ❯

SDLC process. SKILLS AND EXPERIENCE WE ARE LOOKING FOR Bachelor's or master's degree in computer science, engineering, or related field 3+ years experience with Java, Spring & Non-SQL technologies such as MongoDB Experience with micro-services, java deployments & Dev Ops tools such as Gitlab Full understanding of software development lifecycle best practices An ability to drive to goals More ❯

years in a leadership or management role. Proven experience with various programming languages (e.g., Java, Python, Go, C++) and development frameworks relevant to telecommunications. Solid understanding of database technologies (SQL and NoSQL). Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies. Demonstrated ability to lead and motivate a team in an agile development environment. Great-to-haves Strong More ❯

experience as a consultant. Verified skills in a variety of web and software development technologies including but not limited to: REST/JSON, HTTP JavaScript, Web Services, XML, HTML5, SQL, PHP, C# and Java Demonstrated ability to diagnose and troubleshoot technical issues in diverse customer technical environments Demonstrated ability to identify opportunities and challenges; consult with the customer to develop More ❯

e.g., Snowflake, Airflow, DBT, Fivetran, Airbyte, Tableau, Sisense, AWS, GitHub, Terraform, Docker) at enterprise scale for data engineering workloads. Develop deployable, reusable ETL/ELT solutions using Python, advanced SQL, and Jinja for data pipelines and stored procedures. Demonstrate applied understanding of SDLC best practices and contribute to the maturity of SDLC, DataOps, and DevOps processes. Participate actively in Agile More ❯

success in a similar role. Experience of development, deployment, and operation of cloud solutions especially in Azure. Experience/Knowledge of Azure components such as web apps, API management, SQL/NoSQL databases, security components etc would be advantageous. Full stack individuals are highly desirable with proficiency in .NET Core, React, SQL. Either front-end (React) or backend (.NET Core More ❯

wide range of technologies to develop software products end-to-end involving UI, APIs, Databases, etc. Experience in building DevOps pipelines for applications and infrastructure Experience in data engineering, SQL/NOSQL databases, Big Data, and Analytics Lead SAFe by example Gathers and refines requirements by engaging with stakeholders, product manager, and QA manager DevOps/SRE improvements and ensures More ❯

or machine learning models, ideally in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into More ❯

or machine learning models, ideally in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into More ❯

or machine learning models, ideally in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into More ❯