351 to 375 of 3,889 Permanent SQL Jobs

computer engineering, mathematics, and physics and 5 years of professional experience or Masters degree and 3 years of professional experience Programming knowledge in some of the following languages: Python, SQL, Java. Strong experience with workflow orchestration tools such as Apache Airflow or Prefect. Database experience with some of the following products: Elasticsearch, PostgreSQL, MySQL, Oracle, MongoDB Experience working with Docker … with SCI and Polygraph. US Citizenship is required. Desired Qualifications Familiarity with the cyber domain Experience with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana). Experience querying databases (SQL, Hive). Experience working with data platforms like Hadoop and Spark. Overview Noblis and our wholly owned subsidiaries, Noblis ESI , and Noblis MSD tackle the nation's toughest problems and More ❯

advanced analytics, and ensuring data quality and accessibility across the organization. The ideal candidate will have had essential hands-on experience building pipelines in Python, analysing data requirements with SQL, and modern data engineering practices and deep technical expertise in GCP, AWS and/or Databricks alongside experience of driving the team and inputting to the overall vision/strategy. … grade data platforms on GCP, AWS, or Azure Deep expertise in data modeling, data warehousing, distributed systems, and modern data lake architectures Advanced proficiency in Python (including PySpark) and SQL, with experience building scalable data pipelines and analytics workflows Strong background in cloud-native data infrastructure (e.g., BigQuery, Redshift, Snowflake, Databricks) Demonstrated ability to lead teams, set technical direction, and More ❯

Data Stage ETL tool.• To support and maintenance of Production ETL processes and jobs of Data Stage• To support and fulfill adhoc data requests from customers and management using SQL queries and Excel sheets and to perform data validation, accuracy and its completeness during delivery of the data• To support other BI team members during development of reports and dashboards … application operations and maintenance experiencein a large organization Additional Requirements: • Proven experience in data migration projects, specifically from PeopleSoft to a Cloud Based Data Warehouse system.• Strong proficiency in SQL for data extraction and manipulation• Experience with ETL tools and data integration techniques.• Familiarity with data warehousing concepts, data modeling, and reporting tools.• Excellent analytical, problem-solving, and communication skills. More ❯

Main duties of the job To be the Trust specialist on designing and developing information solutions using Business Intelligence products and Data Warehousing technology. You will provide expertise in SQL Server, modelling and report development, web-based visualisation platforms, Python, R, online collaboration and development platforms, and Cloud based technologies. The post holder will work with relevant stakeholders to plan … management, project management Experience of Cloud/Data Science/ML/Data lakes Desirable Experience of working with NHS data./EPR/Agile & DevOps Skills Essential Technical - SQL, including advanced querying Technical - Developing visualisation/reporting and administrating platforms Technical - Data Science/ML/Cloud Technical - Python/R/other general purpose programming languages/statistics More ❯

deliver clean datasets. Optimise data architecture for performance and reliability. Share best practices and contribute to team knowledge. Required Skills 3+ years in a data engineering role. Proficient in SQL and Python . Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3). Solid understanding of data warehousing and modelling: star/snowflake schema Familiarity with Git , CI/ More ❯

deliver clean datasets. Optimise data architecture for performance and reliability. Share best practices and contribute to team knowledge. Required Skills 3+ years in a data engineering role. Proficient in SQL and Python . Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3). Solid understanding of data warehousing and modelling: star/snowflake schema Familiarity with Git , CI/ More ❯

Key Responsibilities: Deliver end-to-end BI solutions using Azure Synapse, ADF, and Power BI (Datasets & Reports) Design and implement scalable data models and architectures Develop robust pipelines using SQL, Python (PySpark), and ideally other OOP languages Manage CI/CD processes using Git and modern deployment tools Debug, monitor, and optimize BI solutions across Microsoft's stack, including legacy More ❯

design, challenge current processes, and leverage best practices to ensure high-quality delivery. Key Skills & Expertise: Strong programming skills in C#/.Net, Java, or Python Experience working with SQL databases Knowledge of cloud platforms (Azure/AWS) Ability to own full development projects from start to finish Entrepreneurial mindset and strong problem-solving skills Excellent communication skills for working More ❯

technologies.Key Responsibilities: Deliver end-to-end BI solutions using Azure Synapse, ADF, and Power BI (Datasets & Reports) Design and implement scalable data models and architectures Develop robust pipelines using SQL, Python (PySpark), and ideally other OOP languages Manage CI/CD processes using Git and modern deployment tools Debug, monitor, and optimize BI solutions across Microsoft's stack, including legacy More ❯

. Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. Proficiency with SQL and cloud-based databases. Effective communicator for both technical and non-technical audiences. Experience documenting BI solutions, including data dictionaries and metadata. Hands-on experience with Qlik Sense and NPrinting. More ❯

. Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. Proficiency with SQL and cloud-based databases. Effective communicator for both technical and non-technical audiences. Experience documenting BI solutions, including data dictionaries and metadata. Hands-on experience with Qlik Sense and NPrinting. More ❯

Develop and maintain data models. Validate, test, and monitor data quality and integrity. Keep track and document data engineering processes, architectures, and best practices. Requirements: 5+ years of experience SQL, particularly PostgresSQL AWS data services API and ETL development Desired Experience: AI and Generative AI model experience Familiarity with Jira, Docker, and Kubernetes Knowledge of Terraform and Cloudformation Know how More ❯

JavaScript, and TypeScript Experience with React, Vue.js, or Angular (preferred) PHP knowledge (desirable) Familiarity with cloud services (AWS, GCP, or Azure), Docker, Kubernetes Understanding of CI/CD, DevOps, SQL/NoSQL databases, and modern testing practices Strong communication and problem-solving skills Success measures Timely delivery of high-quality features Growing technical ownership and contributions Positive impact on team More ❯

enterprise business software applications, specifically Appian-based systems. Experience with business process modeling and optimization. Skills: Proficiency in Microsoft Azure Cloud services and technologies, including Azure App Service, Azure SQL Database, Azure Functions, and Azure DevOps. Strong understanding of software engineering principles, design patterns, and best practices. Experience with Agile/scrum development methodologies and tools Strong problem-solving, design More ❯

Java Frameworks: Experience with Spring (including Boot and Data), Java Enterprise Edition (JEE) (JPA, EJB, JTA, Servlet), Jackson, Jersey, Swing, and JavaFX. Databases: Experience with Oracle, PostgreSQL, MongoDB, and SQL Server. Web Development: Web Application User Interface Development, AngularJS, JSON, HTML, XML, XSLT, Web Services. Cloud: AWS (Lambdas, EC2, EKS, RDS). Tools and Methodologies: Development IDEs (Eclipse, Visual Studio More ❯

with strong technical leadership. What you'll need Proven track record of leading engineering teams on data-intensive projects. Strong programming skills in Java, Scala, or Python. Proficiency in SQL (including extensions for analytical workloads). Deep knowledge of distributed data stores, frameworks, and ETL/ELT platforms (e.g. Azure Databricks, Informatica). Experience applying design standards, coding best practices More ❯

5+ years' experience in data engineering, warehousing, or platform leadership. Proven track record of delivering large-scale data warehouse migrations (BigQuery experience strongly preferred). Hands-on expertise with SQL, Python, Airflow, DBT/Dataform, Terraform , and modern data architecture. Strong leadership and stakeholder management skills. Experience driving complex data projects in agile, cross-functional teams. Nice-to-haves: Background More ❯

it relevant to your audience Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Proficient in R/Python/Sql or other coding stacks Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally More ❯

it relevant to your audience Selfless when it comes to sharing findings, experience and advice. We work as a team not separate individuals! Proficient in R/Python/Sql or other coding stacks Resilience, can work independently to deliver projects Proactively share insights, results and identify risks, without prompting Proficient at communicating results in a concise manner both verbally More ❯

using Power Apps (Canvas and Model-Driven). Develop and optimize Power Automate flows to automate workflows across departments. Create scalable solutions that integrate with Dataverse, SharePoint, Teams, Excel, SQL, and other data sources. Design data models, relationships, and entities within Dataverse or alternative data platforms. Partner with business units, analysts, and end-users to gather and validate requirements. Present More ❯

Power Platform (PowerApps, Power Automate) Understanding of relational databases Desirable: Power Platform Centre of Excellence exposure Experience with Power BI, SharePoint, Dataverse, custom connectors Familiarity with C#/.NET, SQL/XML/JSON, Git/Azure DevOps Agile/SCRUM experience and knowledge of testing practices (TDD, unit testing) Who You Are: Collaborative and able to work effectively in More ❯

the ability to translate data into actionable insights. Desired Qualifications Prior DoD/Army data analysis experience. Familiarity with Palantir, AI/ML techniques, or predictive analytics. Proficiency with SQL and BI/analytics tools (Power BI, Tableau). Security+ or related DoD 8570 certification. Clearance Requirement Active or Interim DoD SECRET clearance or higher. Candidates without a minimum of More ❯

understanding of Git, CI/CD pipelines, and DevOps practices. Excellent communication, teamwork, and problem-solving skills. Preferred Qualifications: Experience with microservices architecture and containerization (Docker, Kubernetes Knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB Experience with cloud platforms like AWS, Azure, or GCP. Agile/Scrum development experience.Education:Bachelor s or Master s degree in Computer Science, Engineering More ❯

systems. Demonstrated experience designing and implementing end-to-end data architecture using Databricks and cloud technologies Extensive experience with Azure Data services (Azure Data Lake, Azure Data Factory, Azure SQL Data Warehouse, Data Lake Analytics, HDInsight, Machine Learning, and Stream Analytics). Expert traditional and modern data architecture and processing concepts, including relational databases, Data warehousing, big data, NoSQL, and More ❯

optimization. Architect Dataverse schema including calculated fields, rollup columns, relationships, and security roles. Build complex workflows in Power Automate including orchestration, parallel branching, error handling, and REST API/SQL/SharePoint integration. Integrate advanced analytics via Power BI, including embedded reports, DAX optimization, and role-based access. Implement Application Lifecycle Management (ALM) using Azure DevOps, GitHub Actions, or Power More ❯