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and operating robust data pipelines. The ideal candidate will have experience in working with Azure Cloud and proficiency in using Microsoft Azure Data Services and platforms such as Azure SQL, Data Warehouse, Data Factory, Data Lakes, HDInsight, and Stream Analytics. Core Azure SQL, MSSQL server. They will also have understanding of the underlying data flow architectures, will have supported finance … accurate financial status reporting Skills and Attributes for Success To qualify for the role, you must have: Experience in one or more of the following Cloud Platforms: Core Azure SQL and MSSQL server Deep understanding of Azure-native services for data engineering. Experience with Azure Key Vault, Azure Monitor, and RBAC. AWS: Experience with S3, Glue, Redshift, and Lambda. Familiarity … AI (optional). Experience in one or more of the following Data Platforms: Microsoft: Experience with Azure Data Factory for orchestrating data workflows. Proficiency in Azure Synapse Analytics and SQL Server. Familiarity with Azure Data Lake Storage (Gen2) and Azure Blob Storage. Knowledge of Power BI integration and data modelling Understanding of Azure Functions and Logic Apps for automation. Snowflake More ❯

Azure, AWS, or GCP. Architectural patterns, design principles, and best practices. Developing RESTful APIs and microservices using .NET 8, ASP.NET Core, and related technologies. With relational databases, particularly Microsoft SQL Server, including schema design, performance optimization, and SQL. Proficiency in data modeling, ETL processes, and data warehousing concepts. With modern development tools and practices, including Git, Azure DevOps (or similar More ❯

ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks Implement medallion architecture (Bronze, Silver, Gold) to support data lifecycle and data quality Support the sunsetting of legacy SQL-based infrastructure and SSRS, ensuring data continuity and stakeholder readiness Create and manage notebooks (e.g., Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark Build and deliver curated … monitoring, logging, and CI/CD automation using Azure DevOps for data workflows Provide support during data migration and cutover events, ensuring minimal disruption.Technical Stack:? Microsoft Fabric? Azure Databricks? SQL Server/SQL Managed Instances? Power BI (including semantic models and datasets SSRS (for legacy support and decommissioning)Qualifications:? Bachelor?s degree in Computer Science, Information Systems, or related field … 5+ years of experience in data engineering roles, preferably in government or regulated environments? Proficiency in SQL, Python, Spark Hands-on experience with Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake Experience with Power BI data modeling and dashboard development? Familiarity with data governance tools (Microsoft Purview, Unity Catalog Solid understanding of ETL/ELT pipelines, data warehousing concepts, and schema design More ❯

insights and recommendations on data architecture and AI strategies Must-Have Skills Extensive expertise in architecting solutions using Microsoft Azure Synapse Analytics and Power BI. Strong proficiency in Microsoft SQL Server, T-SQL scripting, and database design principles. Advanced knowledge of Azure Data Factory, SSIS, and Azure Data Storage solutions. Familiarity with programming languages such as Python or C# for More ❯

and reports, business intelligence, and data analysis. Experience with data integration, semantic and dimension modeling, and DAX programming. Experience leveraging Microsoft power platform. Improving data processing speed by building SQL automations. Strong Understanding: Data warehousing concepts. ETL/ELT processes. Data security implementation. AWS S3, Databricks Lakehouse, Azure Data Lake, SQL server, oracle databases. Technical Skills: Proficiency in Power BI … Desktop, DAX programming, data modeling, and cloud integration. Advanced SQL skills and experience with data querying and manipulation. Strong knowledge of data warehousing concepts and experience with databases. Familiarity with other BI tools (e.g., Tableau, QlikView) is a plus. Collaborate with the data engineering team to develop and maintain ETL pipelines, ensuring data accuracy and integrity for front-end reporting More ❯

impact through data engineering, software development, or analytics Demonstrated success in launching and scaling technical products or platforms Strong programming skills in at least two of the following: Python, SQL, Java Commercial experience in client-facing projects is a plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server More ❯

data to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks … the design and implementation of modern data architectures (ideally Azure, AWS. Microsoft Fabric, GCP, Data Factory) and modern data warehouse technologies (Snowflake, Databricks) Experience with database technologies such as SQL, NoSQL, Oracle, Hadoop, or Teradata Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products Expert problem-solving skills More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. Azure Databricks Implementation: Work extensively with Azure Databricks Unity Catalog, including Delta Lake, Spark SQL, and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R … Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob Storage, and Azure SQL Database. Experience working with large datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. … Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (e.g., Kafka, Azure Event Hubs). Experience with data visualisation tools (e.g., Tableau, Power BI). Experience with DevOps tools and More ❯

highly skilled and versatile Full Stack Developer or similar - both front-end and back-end development, with hands-on experience across a wide range of technologies including C#, PHP, SQL Server, MySQL, mobile development (iOS/Android), and Windows Forms. Understanding of object orientated programming techniques Familiar with applying concepts of Databases, GUIs, REST APIs, Computer Networks and Protocols for … Azure and AWS. A relevant Computing/Software qualification is desirable Strong knowledge/experience of the Microsoft .Net stack including, C# .Net Framework & Core Working knowledge of T-SQL, LINQ and Entity Framework, Javascript, HTML and CSS, IIS, PHP Hands-on experience in mobile development for iOS and Android (native or hybrid frameworks) Experience with Microsoft Azure and AWS … cloud platforms In-depth knowledge of relational databases (especially MS SQL) Also desirable use of Git/Azure Dev Ops, Visual Studio 2019/2022, JQuery, MS Power BI reporting, Linux/Apache web stack, bootstrap front end and sector experience in education Personal qualities: Passion for user experience, design and accessibility - commitment to diversity, inclusion and enabling people to More ❯

instances, including comprehensive data rationalization and modernization of existing algorithms for cloud-native computing architectures Develop advanced SAS programming solutions (Base SAS, SAS/STAT, SAS Macros, SAS/SQL) for complex data transformations Build statistical models and machine learning algorithms using SAS Enterprise Miner and SAS Visual Analytics Create automated ETL processes to extract, cleanse, and transform large datasets … Viya platform including SAS Enterprise Guide and SAS Data Integration Studio Expert-level SAS programming skills with focus on data manipulation, ETL processes, and statistical analysis Strong proficiency in SQL for querying and manipulating relational databases (Oracle, SQL Server, PostgreSQL) Experience with data warehousing concepts, dimensional modeling, and database optimization Strong scripting skills (Python, R, or advanced SAS macro programming More ❯

in data engineering, data warehousing, data security and ETL processes Strong experience in Python object-oriented programming Knowledge of programming languages and tools such as Python, Java, Spring, Angular, SQL, and Shell scripting. Experience creating and using APIs for developing software Strong SQL Experience Strong analytical and problem-solving skills Good communication and collaboration skills Ability to drive code reviews More ❯

Business Acumen: Demonstrated ability to work with business stakeholders to gather requirements, translate them into data models, and design data solutions that meet their needs. Tools & Technologies: Proficient with SQL, Python, and/or PySpark for data manipulation and modeling. Familiarity with ETL/ELT tools, data warehousing platforms, and data modeling tools (e.g., ERwin, Lucidchart Soft Skills: Excellent communication More ❯

multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using concepts, ETL/ELT pipelines and dimensional modelling Proficiency in advanced programming languages (Python/PySpark, SQL) Experience in data pipeline orchestration (e.g. Airflow, Data Factory) Familiarity with DevOps and CI/CD practices (Git, Azure DevOps etc) Ability to communicate technical concepts to both technical and More ❯

models and data products in both cloud (AWS) and on-premises data science and data analytics environment using a variety of programming languages such as Python, R, Java, and SQL Design and implement solutions to complex, large dataset problems using modern, leading practices and innovative techniques Develop and integrate data science applications, products and reporting solutions with the TSA systems … statistics -Experience with data visualizations, reporting systems and Dashboards -Experience with performance troubleshooting of Python and R code in a notebook or data science toolkit environment -Expertise with complex SQL and large data sets; query troubleshooting and optimization to include analyzing optimization plans and debugging stored procedures -Ability to learn new languages and technologies and solid troubleshooting aptitude -Excellent verbal More ❯

IAT-II IAW DoD 8570.01-M (Security+ certification) desired. Must have active Secret clearance with ability to obtain TS with SCI eligibility. Knowledge, Skills and Abilities: Experience in Python, SQL required Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, etc. and migrating customers/projects to the cloud Experience working in Unix/Linux environment Experience with More ❯

statistical analysis and predictive modeling Proficiency in data manipulation and analysis Top Secret Clearance Required Skills and Competencies: Strong proficiency in Excel for data analysis and reporting Experience with SQL for data extraction and manipulation Knowledge of at least one programming language used for data analysis (Python, R, or Java) Proficiency with data visualization platforms (Tableau, Power BI, or D3.js More ❯

extract, transform, and load (ETL) data from multiple sources into data warehouses or data marts. Optimize ETL processes for performance, reliability, and scalability. Data Modeling & Integration: Develop and maintain SQL Server databases, schemas, stored procedures, and views to support reporting requirements. Ensure data quality, integrity, and consistency across systems. Power BI Development: Create and deploy highly interactive Power BI dashboards … Support: Monitor ETL workflows, resolve production issues, and perform root cause analysis. Ensure compliance with security, data governance, and performance best practices. Required Qualifications Technical Skills: Strong expertise in SQL Server Integration Services (SSIS) ETL design, debugging, deployment. Proficiency in Power BI report building, DAX formulas, data modeling. Advanced SQL skills for writing complex queries and optimizing performance. Familiarity with More ❯

champion any actions that you can directly impact at all times. Skills and Experience Extensive experience with Microsoft Dynamics 365 F&O, particularly in data integration and reporting. Advanced SQL proficiency, with expertise in data warehouse modelling and working with large datasets. Proven experience with Azure SQL Databases, data lakes, and developing scalable ETL solutions. Proficiency with SQL Server Management More ❯

champion any actions that you can directly impact at all times. Skills and Experience Extensive experience with Microsoft Dynamics 365 F&O, particularly in data integration and reporting. Advanced SQL proficiency, with expertise in data warehouse modelling and working with large datasets. Proven experience with Azure SQL Databases, data lakes, and developing scalable ETL solutions. Proficiency with SQL Server Management More ❯

Abilities: Bachelor's degree in Computer Science or a related field 5-8 years of professional software engineering experience Demonstrated experience in: Full-stack application development Oracle PL/SQL, SQL, APEX, with proven ability to develop and manage complex queries and manage data migrations, administer, navigate and manage multiple schemas, data replication, backup/recovery, troubleshooting, development, and performance … structure, integration approaches, and performance optimization. Develops and consumes APIs and web services for system interoperability. Maintains and enhances database-driven applications using tools such as Oracle PL/SQL and APEX. Implements unit testing, automated testing frameworks, and follows version control and release management best practices. Participates in infrastructure and application support for both on-premises and cloud environments. More ❯

sources (APIs etc.) Experience of collecting and validating intelligence, assessing the credibility of information and reliability of sources Extensive experience using the Microsoft business intelligence stack e.g. Power Platform, SQL Server, SSAS, SSRS etc. Detailed understanding of underlying database technologies (SQL Server) including SQL syntax and queries Evidence of working as a member of a team to ensure shared goals More ❯