1 to 25 of 156 Azure Synapse Analytics Jobs

Azure Databricks Architect US-CA-San Diego Job ID: Type: Regular Full-Time # of Openings: 1 Category: Accounting/Finance Corporate Office Overview An Azure Databricks Architect is a technical role focused on designing and implementing scalable data solutions using Azure Databricks, acting as a subject matter expert in the platform to create efficient data pipelines … manage data lakes, and ensure data quality while leveraging the full capabilities of the Azure cloud ecosystem; essentially, they are responsible for architecting robust data solutions on Azure Databricks, considering data ingestion, processing, storage, and analysis needs within the context of an organization's business requirements. Responsibilities Solution Design : Develop and implement data architecture using Azure Databricks … pipelines using Apache Spark, Python, Scala, or SQL. Experience building ETL/ELT pipelines, data cleansing, and data transformation processes. Data Technologies: Proficiency in setting up, configuring, and managing Azure Databricks clusters, as well as optimizing performance and costs. Understanding of how to manage, process, and store big data in Azure Data Lake or other storage solutions. Technical More ❯

Azure Databricks Architect US-CA-San Diego Job ID: Type: Regular Full-Time # of Openings: 1 Category: Accounting/Finance Corporate Office Overview An Azure Databricks Architect is a technical role focused on designing and implementing scalable data solutions using Azure Databricks, acting as a subject matter expert in the platform to create efficient data pipelines … manage data lakes, and ensure data quality while leveraging the full capabilities of the Azure cloud ecosystem; essentially, they are responsible for architecting robust data solutions on Azure Databricks, considering data ingestion, processing, storage, and analysis needs within the context of an organization's business requirements. Responsibilities Solution Design : Develop and implement data architecture using Azure Databricks … pipelines using Apache Spark, Python, Scala, or SQL. Experience building ETL/ELT pipelines, data cleansing, and data transformation processes. Data Technologies: Proficiency in setting up, configuring, and managing Azure Databricks clusters, as well as optimizing performance and costs. Understanding of how to manage, process, and store big data in Azure Data Lake or other storage solutions. Technical More ❯

Azure Databricks Architect US-CA-San Diego Job ID: Type: Regular Full-Time # of Openings: 1 Category: Accounting/Finance Corporate Office Overview An Azure Databricks Architect is a technical role focused on designing and implementing scalable data solutions using Azure Databricks, acting as a subject matter expert in the platform to create efficient data pipelines … manage data lakes, and ensure data quality while leveraging the full capabilities of the Azure cloud ecosystem; essentially, they are responsible for architecting robust data solutions on Azure Databricks, considering data ingestion, processing, storage, and analysis needs within the context of an organization's business requirements. Responsibilities Solution Design : Develop and implement data architecture using Azure Databricks … pipelines using Apache Spark, Python, Scala, or SQL. Experience building ETL/ELT pipelines, data cleansing, and data transformation processes. Data Technologies: Proficiency in setting up, configuring, and managing Azure Databricks clusters, as well as optimizing performance and costs. Understanding of how to manage, process, and store big data in Azure Data Lake or other storage solutions. Technical More ❯

Azure Databricks Architect US-CA-San Diego Job ID: Type: Regular Full-Time # of Openings: 1 Category: Accounting/Finance Corporate Office Overview An Azure Databricks Architect is a technical role focused on designing and implementing scalable data solutions using Azure Databricks, acting as a subject matter expert in the platform to create efficient data pipelines … manage data lakes, and ensure data quality while leveraging the full capabilities of the Azure cloud ecosystem; essentially, they are responsible for architecting robust data solutions on Azure Databricks, considering data ingestion, processing, storage, and analysis needs within the context of an organization's business requirements. Responsibilities Solution Design : Develop and implement data architecture using Azure Databricks … pipelines using Apache Spark, Python, Scala, or SQL. Experience building ETL/ELT pipelines, data cleansing, and data transformation processes. Data Technologies: Proficiency in setting up, configuring, and managing Azure Databricks clusters, as well as optimizing performance and costs. Understanding of how to manage, process, and store big data in Azure Data Lake or other storage solutions. Technical More ❯

Azure Databricks Architect US-CA-San Diego Job ID: Type: Regular Full-Time # of Openings: 1 Category: Accounting/Finance Corporate Office Overview An Azure Databricks Architect is a technical role focused on designing and implementing scalable data solutions using Azure Databricks, acting as a subject matter expert in the platform to create efficient data pipelines … manage data lakes, and ensure data quality while leveraging the full capabilities of the Azure cloud ecosystem; essentially, they are responsible for architecting robust data solutions on Azure Databricks, considering data ingestion, processing, storage, and analysis needs within the context of an organization's business requirements. Responsibilities Solution Design : Develop and implement data architecture using Azure Databricks … pipelines using Apache Spark, Python, Scala, or SQL. Experience building ETL/ELT pipelines, data cleansing, and data transformation processes. Data Technologies: Proficiency in setting up, configuring, and managing Azure Databricks clusters, as well as optimizing performance and costs. Understanding of how to manage, process, and store big data in Azure Data Lake or other storage solutions. Technical More ❯

Azure Databricks Architect US-CA-San Diego Job ID: Type: Regular Full-Time # of Openings: 1 Category: Accounting/Finance Corporate Office Overview An Azure Databricks Architect is a technical role focused on designing and implementing scalable data solutions using Azure Databricks, acting as a subject matter expert in the platform to create efficient data pipelines … manage data lakes, and ensure data quality while leveraging the full capabilities of the Azure cloud ecosystem; essentially, they are responsible for architecting robust data solutions on Azure Databricks, considering data ingestion, processing, storage, and analysis needs within the context of an organization's business requirements. Responsibilities Solution Design : Develop and implement data architecture using Azure Databricks … pipelines using Apache Spark, Python, Scala, or SQL. Experience building ETL/ELT pipelines, data cleansing, and data transformation processes. Data Technologies: Proficiency in setting up, configuring, and managing Azure Databricks clusters, as well as optimizing performance and costs. Understanding of how to manage, process, and store big data in Azure Data Lake or other storage solutions. Technical More ❯

Azure Databricks Architect - San Diego, CA US-CA-San Diego Job ID: Type: Regular Full-Time # of Openings: 1 Category: Accounting/Finance Corporate Office Overview An Azure Databricks Architect is a technical role focused on designing and implementing scalable data solutions using Azure Databricks, acting as a subject matter expert in the platform to create … efficient data pipelines, manage data lakes, and ensure data quality while leveraging the full capabilities of the Azure cloud ecosystem; essentially, they are responsible for architecting robust data solutions on Azure Databricks, considering data ingestion, processing, storage, and analysis needs within the context of an organization's business requirements. Responsibilities Solution Design : Develop and implement data architecture using … Azure Databricks, including data ingestion pipelines, data transformation logic, and data warehousing strategies. Building and optimizing ETL pipelines, particularly in Databricks using PySpark, Scala, or Spark SQL. Ability to create and manage Databricks notebooks for data exploration, pipeline development, and data visualization. Familiarity with scheduling and automating Databricks jobs. Big Data Processing : Design and optimize ETL/ELT pipelines More ❯

Data Engineer to design, build, and optimize data solutions using the Microsoft technology stack. The role focuses on developing scalable ETL pipelines, data models, and cloud-based solutions leveraging Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions . The ideal candidate will have a proven background in data engineering, cloud architecture, and enterprise … data systems . Job Role Responsibilities: Design and implement robust ETL pipelines using Azure Data Factory . Develop and maintain data models and warehouses with Azure Synapse and Azure SQL . Build scalable data processing solutions using Azure Functions . Create interactive dashboards and reports with Power BI . Collaborate with business and technical teams … Support and enhance existing data infrastructure, including troubleshooting issues. Experience/Skills/Knowledge/Qualifications: Minimum 5 years’ experience in data engineering roles. Strong hands-on expertise in Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions . Proficiency in SQL, data modeling, and ETL processes . Knowledge of cloud-based data architecture More ❯

Data Engineer to design, build, and optimize data solutions using the Microsoft technology stack. The role focuses on developing scalable ETL pipelines, data models, and cloud-based solutions leveraging Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions . The ideal candidate will have a proven background in data engineering, cloud architecture, and enterprise … data systems . Job Role Responsibilities: Design and implement robust ETL pipelines using Azure Data Factory . Develop and maintain data models and warehouses with Azure Synapse and Azure SQL . Build scalable data processing solutions using Azure Functions . Create interactive dashboards and reports with Power BI . Collaborate with business and technical teams … Support and enhance existing data infrastructure, including troubleshooting issues. Experience/Skills/Knowledge/Qualifications: Minimum 5 years experience in data engineering roles. Strong hands-on expertise in Azure Data Factory, Azure Synapse, Azure SQL, and Azure Functions . Proficiency in SQL, data modeling, and ETL processes . Knowledge of cloud-based data architecture More ❯

s toughest challenges in the defense, intelligence, civil, and health markets. Client Civil Group helps the government modernize operations with leading edge AI/ML driven data management and analytics solutions. We are a trusted partner to both government and highly-regulated commercial customers looking for transformative solutions in mission IT, security, software, engineering, and operations. We work with … issues and recommend remediations. Communicate with stakeholders to ensure clear understanding of models and get buy in, and support stakeholders in development of queries and reports. Optimize models for Azure cloud data architectures, including but not limited to data lake medallion architecture, Synapse Analytics, Azure SQL Managed Instance, NoSQL data stores, and Power BI. Support reengineering … efforts to transition workloads from the legacy Enterprise Data Warehouse to Azure Data Lake Platform. Optimize data models for performance, data quality, and scalability. Work with data governance team, data stewards, subject matter experts to recommend and implement data standards, including for vocabulary, data formats, and reference data. Work with the DevOps team to support and advise on implementation. More ❯

issues and recommend remediations. • Communicate with stakeholders to ensure clear understanding of models and get buy in, and support stakeholders in development of queries and reports. • Optimize models for Azure cloud data architectures, including but not limited to data lake medallion architecture, Synapse Analytics, Azure SQL Managed Instance, NoSQL data stores, and Power BI. • Support reengineering … efforts to transition workloads from the legacy Enterprise Data Warehouse to Azure Data Lake Platform. • Optimize data models for performance, data quality, and scalability. • Work with data governance team, data stewards, subject matter experts to recommend and implement data standards, including for vocabulary, data formats, and reference data. • Work with the DevOps team to support and advise on implementation. … stored procedures), SSIS, SSRS, SSAS, (cubes), and Power BI. • Proficiency with more than one of the follow scripting languages: SQL, T-SQL, Python, PowerShell • Experience with and knowledge of Azure Data Lake Services, Azure Synapse Analytics, Azure SQL MI, and other related services. • Experience advising ETL & data engineering teams. • Strong communication and collaboration skills. • Experience More ❯

partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise … business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as More ❯

partner, specialising in end-to-end transformation. As a global consultancy firm working across the private and public sectors, we specialise in Dynamics 365 Business Applications, Power Platform, including Azure, Application Modernisation and Data & Analytics. Our highly skilled team help drive improvements, creating efficiency and growth within organisations. We are committed to Microsoft technologies, with a mission to revolutionise … business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights. Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed. Communicate and present findings and recommendations to stakeholders and customers using tools such as More ❯

centric approach. It's an exciting time to be part of the Data team at the Financial Ombudsman Service Key Responsibilities: Designing and maintaining ETL/ELT pipelines using Azure Data Factory, Synapse and Databricks. Collaborating with data modellers, analysts, and governance leads to ensure data quality and usability. Contribute to the design, implementation and maintenance of large … creation and maintenance of technical documentation and knowledge sharing including data flow/mappings, data dictionary, ERD related to the data solutions. Minimum Criteria: Building scalable data pipelines, utilising Azure Data Factory, Synapse and Databricks to build and maintain robust data pipelines that process and transform data efficiently. Experience with large data migration (essential) Designing data models: Creating … optimising data models, writing complex SQL and Python queries. Hands on experience with Spark and RESTFul APIs Solid knowledge of data warehouse and Delta Lakehouse technologies. Working with Microsoft Azure and SQL technologies such as Azure Synapse Analytics, Azure Data Factory, Azure storage, Azure SQL and SQL Server . Implementing CI/CD More ❯

Job Title: Data Engineer (Microsoft Fabric & Synapse) Job Summary We are seeking a skilled and experienced Data Engineer to join our team, focusing on the Microsoft data platform. The ideal candidate will have extensive hands-on experience in designing, building, and maintaining robust and scalable data pipelines using Microsoft Fabric, Azure Synapse Analytics, and Python. You … ELT data pipelines using Microsoft Fabric and its components, including Fabric Pipelines and Spark jobs. Notebook-based Transformation: Write, test, and optimize Python notebooks (PySpark) within the Fabric/Synapse environment to perform complex data ingestion, cleansing, and transformation tasks. Data Warehouse and Lakehouse Management: Implement and manage data storage solutions, leveraging Azure Data Lake and Fabric's … and streaming platforms, into the centralized data platform. Performance Tuning: Optimize data pipelines and Spark workloads for performance and cost efficiency, especially when dealing with large-scale datasets in Synapse Analytics. Data Quality and Governance: Establish and enforce data quality and governance standards to ensure the accuracy, consistency, and reliability of data. Implement policies like row-level security and More ❯

You are enthusiastic about data engineering and you want to help in supporting and optimizing BI solutions. You have a basic understanding of BI in Azure and a strong desire to learn, particularly in areas such as data pipelines, error management, and visualization. Activities Serve as the primary point of contact for customer inquiries regarding our BI solutions. Handle … including logging, documentation, resolution, or escalation Collaborate with the support team to maintain, enhance, and ensure the reliability of our BI systems hosted on Microsoft Azure. Optimize and manage Azure data services, including Azure Data Factory, Azure Databricks, and Azure SQL Database, as well as Power BI for data analysis and visualization. Monitor and troubleshoot data … pipelines to ensure seamless and efficient operations. Stay updated with advancements in Microsoft Azure and Power BI technologies through continuous learning. Provide insights and recommendations for best practices in data management and system optimization. Participate in knowledge-sharing activities, learn from experienced team members, and progress along a structured career development path. Requirements Excellent problem-solving skills and attention More ❯

toughest challenges in defense, intelligence, civil, and health markets. With decades of experience, they help government agencies modernize operations with leading-edge AI/ML driven data management and analytics solutions. Operating nationwide with a focus on mission-critical projects, they serve as a trusted partner to government and highly-regulated commercial customers including the FAA, DOE, DOJ, NASA … and other critical data products for the ATF program. This position offers the opportunity to make a significant impact on mission-critical government operations while working with cutting-edge Azure cloud technologies and data architectures. The ideal candidate is mission-focused and delivery-oriented, applying critical thinking to create innovative solutions and solve complex technical challenges in a government … processes, and operational challenges Collaborate with business analysts, system owners, and stakeholders to gather detailed requirements Create and maintain conceptual, logical, and physical data models supporting business requirements and analytics Develop source-target mappings and recommend data standards while identifying quality issues Communicate with stakeholders to ensure model understanding and support query/report development Optimize models for Azure More ❯

of an Integration team that is accountable for technical deliveries of integration projects and system enhancements, and production support services. The candidate is expected to work closely with applications, analytics, infrastructure, security, compliance, PMO, QA, and system analysis teams. Must be a strong analytical problem solver and creative thinker with the ability to ask the right questions and develop … of integrations. Understanding and experience with defect tracking processes and tools. Thorough experience in understanding, analyzing, and white-box testing (end-to-end) of integrations built using/with Azure integration tools like Data factory, LogicApps, Functions, API Management, Data catalog, WebApps, Integration service environment, configuring monitoring & diagnostics, etc., and connectivity & security configurations. Experience in understanding, analyzing, and white … box testing Azure data storage (Data lake, Synapse, etc.) & access tools, APIs, cloud connectivity, and ETL solutions. In-depth understanding of and experience with SOAP, XML, REST, JSON, EDI, XSLT, Async/Sync, Request/Response, Service Bus, Publish/Subscribe, Batch/Real-time, Scheduling, Event triggers, etc. Strong command over data analysis tools (e.g. MS Excel More ❯

Data Engineer - Azure/Microsoft Fabric City of London - Hybrid Working Circa £60k-70k + Bonus & Benefits Our client, a forward-thinking and globally connected staffing & consulting organization is seeking a skilled and driven Data Engineer to join their growing Data & Analytics team. Based in the City of London, this role presents a fantastic opportunity for someone with … years of data engineering experience who is passionate about building robust data solutions using Microsoft Azure and Microsoft Fabric technologies. This is a hands-on technical role where you'll work closely with the Lead Data Architect and collaborate across the business to design, build, and support scalable data infrastructure that powers business intelligence, reporting, and analytics. The ideal … their skills and take ownership of impactful data projects within a fast-paced, modern tech environment. Key Responsibilities: Design, develop, and maintain data pipelines and data warehousing solutions using Azure services Work with stakeholders to convert business requirements into scalable technical solutions Develop tabular and multidimensional data models and perform DAX queries within Power BI Support the integration and More ❯

DevOps Engineer/Data Engineer – Azure Data Platform 6 Month Contract Hybrid Working - Newcastle Or Leeds £400-£450 Inside IR35 We are looking for an experienced DevOps Engineer to join our team and take a leading role in developing, supporting, and optimising our Microsoft Azure Data Platform. This is a hands-on position where you will exercise substantial … autonomy, solve complex challenges, and help shape our data platform strategy. Key Responsibilities: Develop, support, and optimise solutions across Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake. Design, build, and maintain Infrastructure and Configuration as Code using Terraform. Implement and manage CI/CD pipelines (ideally in GitLab CI, with Azure DevOps … including working to security and compliance standards. Eligible for SC Clearance (must have lived and worked in the UK for the past 5 years). Strong experience with Microsoft Azure services including ADF, Synapse Analytics, and Data Lake. Additional experience with Azure DevOps. Demonstrable experience developing and supporting cloud-based applications. Proficiency with Infrastructure as Code More ❯

DevOps Engineer/Data Engineer – Azure Data Platform 6 Month Contract Hybrid Working - Newcastle Or Leeds £400-£450 Inside IR35 We are looking for an experienced DevOps Engineer to join our team and take a leading role in developing, supporting, and optimising our Microsoft Azure Data Platform. This is a hands-on position where you will exercise substantial … autonomy, solve complex challenges, and help shape our data platform strategy. Key Responsibilities: Develop, support, and optimise solutions across Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake. Design, build, and maintain Infrastructure and Configuration as Code using Terraform. Implement and manage CI/CD pipelines (ideally in GitLab CI, with Azure DevOps … including working to security and compliance standards. Eligible for SC Clearance (must have lived and worked in the UK for the past 5 years). Strong experience with Microsoft Azure services including ADF, Synapse Analytics, and Data Lake. Additional experience with Azure DevOps. Demonstrable experience developing and supporting cloud-based applications. Proficiency with Infrastructure as Code More ❯

modern workforce. Are you ready to move the world forward? Apply now. A Brief Summary of This Position: The IT Analytical Engineer is part of the IT Data and Analytics team.This group is responsible for capturing data from numerous disparate sources of all types, modeling it and transforming it into simple information models, and working with all the various … partners within the organization to deliver actionable insights. This role will develop technical solutions and strategies for business intelligence needs; Help to build and support Valmont's self-service analytics platform; Understand and work with business partners to fulfill their data and information needs; Gather requirements from assigned business teams, and work with other Engineers to build out the … Passion, Integrity, Continuous Improvement, and Delivering Results while cultivating a workplace where employees feel valued, trusted, understood, and respected. Essential Functions: This role will report to the IT Manager Analytics and have no direct or indirect reports. Build and support Self-Service solutions for BI Analysts, Stakeholders, and other Business Partners. In conjunction with Data Engineers, BI Analysts, Data More ❯

which both professional and technical capabilities have been clearly demonstrated. A minimum of seven (7) years of architecting, design and development experience with various relevant Microsoft platforms (predominantly with Azure), tools, technologies, patterns, and techniques related to integration and data is required. A minimum of three (3) years of experience must be as an architect or solution designer with … is very much preferred. Experience with industry/domains like pharmaceutical, finance, HR, sales, marketing, and manufacturing is valuable. Architecture certification like TOGAF or similar, and Developer certifications of Azure and/or Microsoft suite technologies is a big plus. Technical skills: In-depth knowledge and thorough experience in working with a variety of integration patterns is very important. … In-depth knowledge and thorough experience in programming, configuring, and/or integrating using/with Azure integration tools like Data factory, LogicApps, Functions, API Management, Data catalog, WebApps, Integration service environment, configuring monitoring & diagnostics, etc., and connectivity & security configurations (certificates, encryptions, etc.). In-depth knowledge and experience with Azure data storage (SQL Server, Data lake, Synapse More ❯

technical capabilities have been clearly demonstrated. A minimum of four (4) years of design and development experience with various relevant Microsoft platforms, tools, technologies, patterns, and techniques related to Azure tools, integration, and data is required. Experience with industry/domains like pharmaceutical, finance, HR, sales, marketing, and manufacturing is highly preferred. Experience with healthcare industry regulations, data security … and compliance standards (e.g. GDPR), and EDI standards (e.g. FHIR, HL7), etc. is very valuable. Developer certifications of Azure and/or Microsoft suite technologies is a big plus. Program, configure, and production support functionalities like APIs, Systems & Data integrations, MSFT suite integration, Device integration programming, ETL processes, deployment scripts, etc. Diagnose and resolve reported defects/incidents in … of constant learning. Other relevant tasks as assigned by the manager. Technical skills: In-depth knowledge and thorough experience in programming, configuring, and/or integrating using/with Azure integration tools like Data factory, LogicApps, Functions, API Management, Data catalog, WebApps, Integration service environment, configuring monitoring & diagnostics, etc., and connectivity & security configurations (certificates, encryptions, etc.). In-depth More ❯

As a Senior Microsoft Azure AI Engineer (m/w/d) Lead AI Solution Architecture , you're responsible for the end-to-end architecture of AI/ML solutions on Azure . You provide technical leadership to teams in implementing best practices and MLOps, and work closely with clients to translate their business needs into innovative AI … solutions. Activities Lead AI Solution Architecture: Own the end-to-end architecture for AI/ML solutions on Azure, from concept and design to deployment. Develop high-level solution designs that integrate with clients' existing data platforms and infrastructure. Client Engagement: Work closely with enterprise clients to understand business challenges and identify opportunities where AI/ML can drive … insights in pharma, or risk modeling in insurance). Translate these needs into solution roadmaps and technical plans. Technical Leadership: Provide hands-on technical leadership to delivery teams. Guide Azure AI Engineers and Data Engineers in implementing best practices for data preparation, model development, and cloud deployment. Mentor team members in advanced AI techniques and review designs/code More ❯