626 to 650 of 10,597 SQL Jobs

vulnerability scanning tools (Nessus, Qualys) and security compliance frameworks (DISA STIGs, NIST, CIS benchmarks). Database & Log Analysis: Ability to query logs and databases (SQL, Splunk, ELK Stack) for troubleshooting patch failures. Required Qualifications: Bachelor's degree in computer science, Software Engineering, Information Technology, or a related field and More ❯

implement design patterns Nice to have: Experience in micro front end development Experience in Service Side Rendering and Service Worker Experience in database programing (SQL, transaction management and query optimization) Familiarity with backend development Spring Boot restful services and microservice (Spring cloud) Familiar with automation testing tools Cypress, Selenium, JMeter More ❯

products. ESSENTIAL CRITERIA Degree in Computer Science, Information Systems, or a related field. or a combination of education and relevant experience Query languages e.g. SQL, Java, Hive, R Data Management technologies e.g. ETL tools, data integration platforms Proven experience as a Data Architect, Data Engineer (or a related role, with More ❯

extends within their immediate team, where they deliver data-driven solutions that directly inform team business decisions. The core technical requirements demand proficiency in SQL and data manipulation, along with the ability to create and maintain ETL processes. They should be capable of building data structures using schema definition languages More ❯

similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience with AWS solutions such as EC2 More ❯

interface technologies and languages, e.g. ReactJs , AngularJs , Typescript , JavaScript , CSS , and HTML5 Experience with user interface testing technologies, e.g. Selenium and Cypress Proficient with SQL and querying relational databases Experience with using Terraform to provision and configure infrastructure Experience with deploying and maintaining production workloads on the AWS public cloud More ❯

R to support planning, programming, budget, and execution decisions. Develop formulas and/or scripts extracting information from a variety of data formats (e.g., SQL tables, structured metadata, network logs). Supervise algorithm implementation and data mining in Cloud computing environments. Conduct and implement statistical analysis to identify trends and More ❯

providing you with the training to develop the financial, consulting and technology skills required across a broad range of tools such as; Excel, VBA, SQL, Python, Qlikview, Tableau, and Power BI. You'll be working with some of the best in emerging practices and technologies. As a Powered Applications Graduate More ❯

aptitude. You have a quantitative background, and you are a natural at turning data into insight to make decisions. Ideally with a background in SQL (or related language) - or you are ready to learn it fast! You have some experience in using Tableau or other BI tools, e.g. Looker, Power More ❯

tools, including Power BI, Fabric, Azure Synapse, and DAX Strong understanding of cloud-based BI architectures and services (e.g., Azure, AWS, GCP) Experience with SQL, DAX, and Power Query Understanding of modern data warehouse concepts and ETL/ELT workflows Full driver's licence and access to a vehicle Curious More ❯

tools, including Power BI, Fabric, Azure Synapse and DAX Strong understanding of cloud-based BI architectures and services (e.g., Azure, AWS, GCP) Experience with SQL, DAX, and Power Query Understanding of modern data warehouse concepts and ETL/ELT workflows Full driver's licence and access to a vehicle Curious More ❯

tools, including Power BI, Fabric, Azure Synapse and DAX Strong understanding of cloud-based BI architectures and services (e.g., Azure, AWS, GCP) Experience with SQL, DAX, and Power Query Understanding of modern data warehouse concepts and ETL/ELT workflows Full driver's licence and access to a vehicle Curious More ❯

in fraud detection systems, such as Feedzai, FeatureSpace, BioCatch, Falcon, NICE Actimize, etc. Proficient in using data analytics tools and technologies such as Python, SQL and Power BI to identify trends and develop recommendations. Strong problem-solving and communication skills, capable of data storytelling and explaining fraud risks & controls to More ❯

order to understand, translate, review and playback requirements and collaborate to develop Model Engineering solutions. Exposure to working with data sets through tools like SQL, JavaScript or Python Experience communicating unambiguously through multiple channels such as Presentations, Word Documents, workshops and meetings. Desirable Knowledge of Programming Language Design and Implementation. More ❯

and Business Data Stewards to align data solutions with organizational objectives. Below are the key technical skills needed by a Senior Analytics Engineer: Advanced SQL expertise is essential for querying, transforming, and managing data within databases to support business insights. Proven experience in developing and optimising ETL/ELT pipelines More ❯

the digital advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS, Google Cloud) and big data tools (e.g., Spark, Snowflake). Exceptional More ❯

performance cloud-based applications. Strong understanding of object-oriented programming principles and design patterns. Expertise in microservices architecture and event-driven systems. Proficiency in SQL and NoSQL databases, with a strong understanding of data modeling and query optimization. Strong understanding of software development life cycle (SDLC) and Agile methodologies. Preferred More ❯

or Corelight Experience collecting data from a variety of cyber defense resources such as CVE or OSINT Experience in various query languages such as SQL, Lucene, JEXL, or KQL Experience with dashboarding and visualizations such as Power BI, Superset, or Kibana Experience with SOARs such as Sentinel, CORTEX, or X More ❯

Property & Casualty, International Markets and Life, Accident & Health segments. Strong capabilities working with the latest business intelligence tools and query tools, specifically Power BI, SQL and Spark. Strong understanding of data modelling and data processing frameworks such as SSIS, Python and Databricks. Excellent data analysis and data management documentation skills. More ❯

with cloud platforms (e.g. GCP/AWS/Azure) Experience with Microservices architecture (Kubernetes, GKE, EKS, AKS, Docker, Serverless, etc) Hands-on experience with SQL/NoSQL based databases Familiarity or familiarity with big-data architectures (using Kafka, Splunk, Flink, etc) Familiarity with distributed computing (understand implications of CAP theorem More ❯

and compile architecture decision records (ADRs) Experience working in an agile team supporting and working with cross-functional teams Knowledge of relational (e.g., Postgres SQL) and non-relational databases (e.g., Graph database, Vector Database etc.) Familiarity in visualization technologies (e.g. Python DASH, Tableau, PowerBI) Proficiency in provisioning cloud infrastructure leveraging More ❯

financial empowerment Evaluate and integrate emerging AI technologies to solve complex problems and improve enterprise-wide development processes. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services More ❯

financial empowerment Evaluate and integrate emerging AI technologies to solve complex problems and improve enterprise-wide development processes. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services More ❯

to Python scripting or programming language with the ability to write simple automation scripts or tooling. Demonstrated ability to write clean, efficient code in SQL, with proven experience in building and optimizing data pipelines or analytics solutions. Familiarity with version control systems (e.g., Git) for code management, including branching, merging More ❯

Desired Qualifications: Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS. Customize ArcGIS templates, Manage ArcGIS Portals, and/or Customize ESRI StoryMap Templates. Create shapefiles More ❯