1 to 25 of 4,055 SQL Jobs

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 ❯

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 ❯

Software Engineer with C# and MS SQL Server Our Client is a global company based out of Trumbull CT USA. They are looking to recruit a Senior C# Developer with MS SQL Server with at least 5 to 10 years solid expertise. Must have a bachelor's degree in computer science, software engineering, or a related field. A minimum of … 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, etc.) & access tools, APIs, cloud connectivity, and ETL processes. Knowledge and some experience of MS Office/MS Office 365 suite, SharePoint Online, Power Apps, GitHub … EDI, XSLT, Async/Sync, Request/Response, Service Bus, Publish/Subscribe, Batch/Real-time, Scheduling, Event triggers, etc. In-depth knowledge and development experience using MS SQL Server (SSIS, T-SQL, Stored procedures, Functions, Views, Queries, Datatype conversions, etc.). Thorough understanding of the fundamental architecture of the cloud and on-prem MSFT Suite (e.g. Share point More ❯

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, etc.) & access tools, APIs, cloud connectivity, and ETL processes. In-depth knowledge & experience using Visual Studio, with one of the programming languages C#/Java/… EDI, XSLT, Async/Sync, Request/Response, Service Bus, Publish/Subscribe, Batch/Real-time, Scheduling, Event triggers, etc. In-depth knowledge and development experience using MS SQL Server (SSIS, T-SQL, Stored procedures, Functions, Views, Queries, Datatype conversions, etc.). Knowledge and experience of MS Office/MS Office 365 suite, SharePoint Online, Power Apps, GitHub, MS More ❯

engineering role, ideally as a senior or lead engineer. Strong, hands-on experience of Azure Data Factory for managing and orchestrating ETL processes Experience with Microsoft Fabric Products Strong SQL experience, including SQL queries and stored procedures, and formal database design methodologies Experience in setting up monitoring and data quality exception handling Strong data modelling experience Experience managing and developing 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 ❯

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 ❯

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 ❯

similar). Proven experience with: Power BI (advanced DAX, data modelling, RLS, deployment pipelines) PySpark and Databricks or Microsoft Fabric Git and CI/CD pipelines (Azure DevOps preferred) SQL for querying and data transformation Experience with Python for data extraction and API integration. Excellent numerical and analytical skills with strong attention to detail. Confident communicator with experience presenting to More ❯

Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing More ❯

Required Qualifications: ● 4+ years relevant industry experience in a data engineering role and graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field ● Proficiency in writing SQL queries and knowledge of cloud-based databases like Snowflake, Redshift, BigQuery or other big data solutions ● Experience in data modelling and tools such as dbt, ETL processes, and data warehousing More ❯

engineering best practice within the digital team. About you Skills and experience • Strong experience in data engineering with the Azure data stack (Fabric, Data Factory, Synapse). • Proficiency in SQL and Python for data transformation, ETL/ELT and automation. • Solid understanding of CI/CD, Git, and DevOps practices for data workflows. • Experience designing and implementing layered data models. More ❯

and technology Demonstrated experience with non-SAP analytics platforms, and cloud-based analytics solutions, including data integration techniques Proficiency in programming languages such as Python, R, and/or SQL for data analysis, modeling and automation tasks What We Look For: We are looking for candidates who are: Innovative and agile , with a purpose-driven mindset Inclusive and able to More ❯

be part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure … Power BI. Implement data governance, quality checks, and profiling to ensure accuracy and compliance. Lead the migration of Legacy data capabilities to modern Azure-based platforms. Apply dbt with SQL databases for data transformation, modelling, and workflow optimisation. Collaborate with stakeholders to translate business requirements into robust technical solutions. Coach and mentor team members, fostering best practices in data engineering. … Clearance (mandatory at application stage). Proven expertise in: Azure Data Factory & Azure Synapse Azure DevOps & Microsoft Azure ecosystem Power BI (including semantic models) Python (incl. PySpark) and advanced SQL dbt with SQL DBs (data transformation & modelling) Dimension data modelling Terraform for infrastructure-as-code deployments Strong experience with both structured and unstructured data. Delivery track record in Agile environments. More ❯

be part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure … Power BI. Implement data governance, quality checks, and profiling to ensure accuracy and compliance. Lead the migration of Legacy data capabilities to modern Azure-based platforms. Apply dbt with SQL databases for data transformation, modelling, and workflow optimisation. Collaborate with stakeholders to translate business requirements into robust technical solutions. Coach and mentor team members, fostering best practices in data engineering. … Clearance (mandatory at application stage). Proven expertise in: Azure Data Factory & Azure Synapse Azure DevOps & Microsoft Azure ecosystem Power BI (including semantic models) Python (incl. PySpark) and advanced SQL dbt with SQL DBs (data transformation & modelling) Dimension data modelling Terraform for infrastructure-as-code deployments Strong experience with both structured and unstructured data. Delivery track record in Agile environments. More ❯

be part of multi-functional Agile delivery teams, ensuring operational stability, ongoing support, and enhancement of scalable data solutions. The role requires strong technical expertise in Azure data tools, SQL, Python, and modern engineering practices, with a focus on migration, data governance, and advanced analytics capabilities. Key Responsibilities Design, build, and maintain data solutions using Azure Data Factory and Azure … Power BI. Implement data governance, quality checks, and profiling to ensure accuracy and compliance. Lead the migration of Legacy data capabilities to modern Azure-based platforms. Apply dbt with SQL databases for data transformation, modelling, and workflow optimisation. Collaborate with stakeholders to translate business requirements into robust technical solutions. Coach and mentor team members, fostering best practices in data engineering. … Clearance (mandatory at application stage). Proven expertise in: Azure Data Factory & Azure Synapse Azure DevOps & Microsoft Azure ecosystem Power BI (including semantic models) Python (incl. PySpark) and advanced SQL dbt with SQL DBs (data transformation & modelling) Dimension data modelling Terraform for infrastructure-as-code deployments Strong experience with both structured and unstructured data. Delivery track record in Agile environments. More ❯

Medicaid Reports Developer Curam Products Location: Durham, NC, OnsiteRate : Best competitive rate Position Overview Tha client is seeking an experienced Medicaid Reports Developer with strong expertise inOracle PL/SQL, Azure Synapse, andCuram Products to support the NC FAST Medicaid Projects. This role focuses on designing, developing, and maintaining advanced reporting and analytics solutions that drive data-driven decisions within … change requests and defect resolutions. Key Responsibilities Design, build, and maintain data warehouses, semantic models, and reporting solutions for NC FAST Medicaid initiatives. Develop and optimize Oracle PL/SQL code for data processing, transformation, and reporting. Create and manage Azure Synapse pipelines, serverless SQL pools, and Spark pools for large-scale data analytics. Develop reports and dashboards using Power … to ensure timely delivery of solutions. Required Qualifications 5+ years of experience in programming and design of large-scale, web-based distributed systems. Strong expertise in Oracle PL/SQL, data modeling, andSQL scripting. Proven experience designing and managing data warehouses and ETL processes (Oracle Warehouse Builder or similar Strong understanding of relational databases including tables, views, indexes, grants, and More ❯

experience of working with large data sets in an enterprise environment. Microsoft Data Components: You'll have strong experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Data Quality and Security: You'll have experience of using tools and techniques for ensuring data quality, security, validation and recovery. Analytical Skills: You possess strong … DAX skills. Experience of working with large data sets in an enterprise environment. Dimensional model design and implementation. Experience in Microsoft data components including: Azure Analysis Services Databricks Azure SQL Data Warehouse (Synapse Analytics) Tools and techniques for ensuring data quality, security, validation and recovery. Strong analytical skills, with the ability to adopt a logical approach to solving problems. Data More ❯

in complex, data-rich environments. Deep expertise in the Microsoft Azure Stack and modern data architecture patterns. Experience with data & analytics platforms (e.g. MS Fabric). Strong proficiency in SQL, Python, and data orchestration tools (e.g. Azure Data Factory). Experience with data visualisation tools, ideally Power BI, and delivering data models that support self-service analytics. Excellent communication and More ❯