1 to 25 of 4,590 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 ❯

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 ❯

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 ❯

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 ❯

Job Summary Medline Industries, LP. is seeking a highly skilled and experienced SQL Developer to join our Sales Compensation IT team. This role involves designing and implementing solutions that support the Sales Compensation division. The ideal candidate will have experience with Microsoft SQL Server, Azure SQL, Azure Data Factory, and Azure Data Lake Storage Gen2 (ADLS Gen2). This position … environment.Job Description Key Responsibilities: Assist in the design and creation of logical and physical data models. Develop, implement, test, and optimize complex stored procedures, functions, and views using T-SQL in Microsoft SQL Server and Azure SQL databases. Design and implement scalable, secure data pipelines using Azure Data Factory and Azure Data Lake, supporting both batch and incremental processing. Establish … years of experience developing complex stored procedures, triggers, views, and key database assets, including performance optimization and large data processing using T-SQL. 3+ years of experience with Microsoft SQL Server 2022 or newer, Azure SQL, and an understanding of industry best practices. 2+ years of experience in data modeling, database operations, including performance optimization and large data processing. 2+ More ❯

requirements into technical specifications · Utilize MSSQL and other database tools (including but not limited to Oracle EPM) to build and modify meaningful reports and dashboards for business units · Perform SQL queries - design, code, test, and aggregate the results to create useful information · Build aggregated data marts to provide data models and visualizations for Power BI · Write technical documentation. *Qualifications * *Required … years of related experience · Business Intelligence developer skills · RDBMS (Relational Database Management system) experience · Previous experience with learning database schemas · Ability to write intermediate/advanced queries using T-SQL · Understanding of data warehousing and ETL processes · Excellent verbal and written communication skills *Preferred* · Power BI · DAX (data analysis expressions) · Programming or scripting experience · SSIS · Previous experience analyzing financial information … Experience with Infor SX.e/CSD ERP system · Progress 4GL/ABL, SQL-92 *Schedule & Location* Monday – Friday Daytime Hours Lansing, IL Full-time, 40 hours/week In-office position *Salary Expectations* Minimum starting salary of $60k annually Starting salary based on experience Job Type: Full-time Pay: $60,000.00 - $80,000.00 per year Benefits: * 401(k) * 401(k 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 ❯

groups. Skills/Competencies Required: Microsoft/AWS architecture (recent experience); Agile methodology/delivery; Experience with interacting with business and technology leaders; Experience designing physical data models (relational SQL desirable); Experience rolling out mid-large platforms from inception to production; SQL, Java, Oracle, Kubernetes exposure; Hardware and software virtualisation techniques; Excellent written and verbal communication skills; Prior experience in 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 ❯

for NetSuite software design, code, and configurations. Implement and configure SuiteApps to enhance client user experience and system performance. Write and optimize code in Python, JavaScript (NetSuite SuiteScript), and SQL for automation, data analysis, and process optimization. Build and maintain integrations with NetSuite using Middleware (IPaaS), REST, and SFTP solutions. Manage system updates and upgrades, ensuring smooth implementation while minimizing 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 ❯

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 ❯

programming language and related tools * Customize Business Central modules and integrate third-party apps to meet business needs * Support data management and migration activities within ERP environments, including legacy SQL databases * Collaborate on integration strategies for cloud-based storage and access of historical data * Provide technical support to staff in relation to custom applications and reports * Provide support and ongoing … software and workflows *Skill Requirements:* * Proven 3+ years of direct experience with ERP systems; strong preference for Dynamics 365 Business Central * Effective ability to parse, understand, and work with SQL, JavaScript * Experience utilizing code repositories such as Git, Azure DevOps * Willingness to learn AL programming if not already proficient * Strong communication, problem-solving, and analytical skills to gather requirements and … programming for Business Central extensions * Experience using Power BI for reporting and data visualization * Experience with cloud technologies like Microsoft Fabric, Azure, Power Apps * Functional knowledge of advanced MS SQL features, including replication, stored procedures, and linked server * Competencies in languages such as Python, Java * Familiarity with Office products, working with Excel formulas, and data manipulation *Why Join Us?* * Childcare 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 ❯

A skilled SQL Migrations Developer is required to join a small but growing team. Initially, the successful candidate will be working on a large project to migrate a global client base numbering in the hundreds from multiple legacy applications into a single global Azure SaaS product. The developer will be expected to use their technical experience in designing a migration … innovation and continuous improvement to the team. Educational Requirements: Minimum 2.1 degrees in IT or an equivalent technical subject. Experience Required: Required - Minimum 5 years experience working in a SQL Developer role or similar title Required - Minimum 5 years working on ETL Data Migrations Required - Minimum 3 years working in Azure SQL environments in a SQL Development capacity Highly Desirable … Experience of Insolvency or Financial Services sectors. Technical Competencies Required: Advanced T-SQL MS SQL Server ETL and Migration Development SSIS Azure Data Factory Databricks Microsoft Fabric Advanced Microsoft Excel Highly Desirable: Azure Devops GIT Source control Jira Confluence mySQL Desirable: SSRS & Power BI SSAS SQL Utilities such as Redgate Other development experience includes C#, VB .NET, PHP, web applications More ❯

Troubleshoot and resolve issues in ETL jobs, ensuring data accuracy and integrity. Automate and schedule Pentaho jobs using Carte, Kitchen, or Pan scripts. Optimize performance of ETL jobs and SQL queries. Participate in data modelling and data warehouse design discussions. Support deployment of Pentaho solutions in production environments. Create and maintain documentation for ETL processes and data flows. Required Skills … and Experience Hands-on experience with Pentaho Data Integration (PDI/Kettle) . Strong proficiency in SQL (MySQL, PostgreSQL, Oracle, SQL Server, etc.). Experience with data warehousing concepts (star schema, dimension modelling). Familiarity with ETL performance tuning and error handling techniques. Experience working with Linux/Unix environments and Shell Scripting. Understanding of REST/SOAP APIs , JSON More ❯