1 to 25 of 5,267 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 ❯

Genesis10 is currently seeking a Sr. SQL Database Developer with our client in the financial services industry. You can work from Plano, TX or Portland, OR. This is a for this full time, permanent job opportunity. Description: The Senior SQL Server Database Developer is the enterprise expert for designing, developing, and optimizing data processing systems and pipelines used to populate … data into transactional databases, data warehouses, data marts, or other data repositories. A Senior SQL Server Database Developer builds systems to create and optimize data sets and data systems for operating applications, performing analysis, or identifying business or technology issues. You will be responsible for operational support and incident/problem management, from creating logging instrumentation to analysis and process … experience designing and development on-premises and cloud-based (Azure) infrastructure and platform components 4+ years of hands-on development and deployment experience with Azure cloud using .NET, T-SQL, Azure SQL, Azure Storage, Azure Data Factory, Cosmos DB, GitHub, Azure DevOps, and CI/CD pipelines Advanced knowledge of Extract/Transform/Load (ETL) and/or Extract More ❯

are seeking an experienced Senior Data Analyst with a strong background in the multifamily real estate business and mortgage domain. The ideal candidate will possess advanced technical skills in SQL, RDBMS databases, MongoDB, NoSQL, Informatica Cloud (including Informatica Data Quality), and all standard data analyst tools and methodologies. You will play a key role in analyzing complex datasets, monitoring and … for our multifamily and mortgage business units. Responsibilities: Analyze large, complex datasets related to multifamily properties and mortgage portfolios to identify trends, risks, and opportunities. Develop, maintain, and optimize SQL queries and scripts for data extraction, transformation, and reporting. Design and implement data models and pipelines using RDBMS (e.g., MySQL, PostgreSQL, SQL Server), MongoDB, and other NoSQL databases. Utilize Informatica … Data Analyst, with at least 2 years in the multifamily real estate or mortgage industry. Deep understanding of multifamily business operations, property management, and mortgage processes. Advanced proficiency in SQL and experience working with RDBMS databases (MySQL, PostgreSQL, SQL Server, etc.). Hands-on experience with MongoDB and other NoSQL databases. Proven experience with Informatica Cloud, including strong knowledge of 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 ❯

hosted environment . Develop and optimize Delta Lake models in Databricks/Synapse and Azure Data Lake Gen2 , ensuring scalability and ACID compliance. Maintain and enhance existing data pipelines (SQL Server, Azure Data Factory) to support ongoing migration and integration activities. Implement data quality validation and automated testing through dbt and Dagster frameworks. Embed CI/CD and automation practices … Azure data services (Synapse, Databricks, Azure Data Factory or similar). Experience delivering reporting solutions for platforms like Power BI or Tableau , including data modeling and performance optimization. Advanced SQL skills, data modeling, and proficiency with dbt Core for modular SQL transformations and testing. Experience orchestrating pipelines with Dagster, Airflow, or similar tools. Familiarity with Python for data manipulation, orchestration More ❯

years of IT experience, with10+ years in data analytics and BI development.5+ years of hands-on experience with Power BI, including DAX, Power Query, and Data Modeling.Strong expertise in SQL, data warehousing concepts, and ETL pipelines.Proven experience withAzure Data Services (Data Factory, Synapse, Data LakeExcellent understanding ofdata visualization principles and storytelling with data.Strong analytical, problem-solving, and communication skills.Bachelors or 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 ❯

as a mentor to Engineers. You’ll be accountable for developing and optimising our Azure-based data warehouse and pipelines, with a specific focus on enhancing and optimising SSAS (SQL Server Analysis Services) models and architecture. You will lead ETL processes, ensure high data quality, and enable robust, scalable data solutions. You will facilitate data from multiple custom internal and … impact at all times. Skills and Experience 2.1 or higher degree in Computer Science, or related Information Technology subject. 3+ years experience working with cloud infrastructure and data modelling (SQL database, data warehouse, SQL servers, datalake storage and lakehouses, structured and unstructured data) Significant experience working with Azure Data Factory and LogicApps creating pipelines ingesting data from multiple sources Advanced … T-SQL skills and Python essential Experience of Azure cloud stack services – Dynamics D365, Databases, Warehouses, Storage, Datalake, Power Automate, Data Factory, Visual Studio, Devops, Power BI, MS Fabric Strong interest in analytics, data architecture and modelling. Experience of enterprise software, Azure Cloud apps, databases, data models. Understanding of Business Intelligence services and data integration processes (ETL) Knowledge of Power More ❯

we need you to have. These include:Must haves Proven track record as a developer in an insurance or financial services environment; Strong working knowledge of programming languages (e.g. SQL, C#, VBA, Javascript, XML, JSON, Python); Experience building Excel-integrated applications and/or web-based pricing platforms. Strong database skills (SQL Server or similar) and data integration experience; Proactive … patterns and able to implement where appropriate; Working knowledge of software delivery and development process; Strong comprehension of working with large data sets and being able to write complex SQL queries; Have qualifications in an insurance or reinsurance environment working with catastrophe and/or actuarial models; Previous Lloyd's and PRA experience; Knowledge of DevOps practice - Desirable Skills Experience 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 ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

Expertise in one or more modern cloud data platforms: Snowflake, Databricks, AWS Redshift, Microsoft Fabric, or similar Understanding of data modelling principles, dimensional modelling, and database design Proficiency in SQL and query optimization Comprehensive knowledge of ETL/ELT processes and data pipeline architecture Excellent communication skills with the ability to collaborate across cross-functional teams Experience managing client relationships More ❯

Masters preferred1015 years of experience in ETL development and data warehousing.Strong proficiency in one or more ETL tools such as Informatica PowerCenter, Talend, SSIS, DataStage, or Azure Data Factory.Advanced SQL and PL/SQL skills with strong database experience (Oracle, SQL Server, Snowflake, or similarHands-on experience with data modeling, data integration, and data quality frameworks.Familiarity with cloud platforms (AWS 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 ❯

and operate ELT/ETL pipelines using Microsoft based tools (Data Factory, Fabric). Maintain a medallion architecture (Bronze–Gold) for trusted, refined datasets. Develop, optimize, and maintain complex SQL queries to support analytics and reporting requirements. Implement data quality, testing and observability; ensure lineage, accuracy and compliance. Enable self-serve analytics through well-documented models and transformation logic. Integrate … purpose data solutions. Proactively identify opportunities for continuous improvement. What you can already do Minimum 3 years’ experience in data engineering, data analytics, and BI. Proficiency in Python and SQL languages. Experience in delivering technology projects within a fast-paced business, medium sized organisations. Deliver solutions within the appropriate framework and methodology whilst ensuring the supportability of services delivered. Experience … control systems (Git, GitHub) and CI/CD best practices Excellent understanding of Power BI Service and Fabric Strong grasp of data modelling and warehousing concepts such as MS SQL Server, Oracle and Snowflake. Knowledge of Infrastructure-as-Code (e.g., Terraform), identity and secrets management (IAM), and cloud cost optimization at scale Knowledge of information principles, processes, and Master Data More ❯

and operate ELT/ETL pipelines using Microsoft based tools (Data Factory, Fabric). Maintain a medallion architecture (Bronze–Gold) for trusted, refined datasets. Develop, optimize, and maintain complex SQL queries to support analytics and reporting requirements. Implement data quality, testing and observability; ensure lineage, accuracy and compliance. Enable self-serve analytics through well-documented models and transformation logic. Integrate … purpose data solutions. Proactively identify opportunities for continuous improvement. What you can already do Minimum 3 years’ experience in data engineering, data analytics, and BI. Proficiency in Python and SQL languages. Experience in delivering technology projects within a fast-paced business, medium sized organisations. Deliver solutions within the appropriate framework and methodology whilst ensuring the supportability of services delivered. Experience … control systems (Git, GitHub) and CI/CD best practices Excellent understanding of Power BI Service and Fabric Strong grasp of data modelling and warehousing concepts such as MS SQL Server, Oracle and Snowflake. Knowledge of Infrastructure-as-Code (e.g., Terraform), identity and secrets management (IAM), and cloud cost optimization at scale Knowledge of information principles, processes, and Master Data 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 ❯

Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling … Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution. Data Modeling: Strong skills in dbt, including writing modular SQL transformations, building data models, and maintaining dbt projects. SQL Databases: Extensive experience with PostgreSQL, MySQL (or similar), including schema design, optimization, and complex query development. Infrastructure as Code: Production experience More ❯

Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets. Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling … Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution. Data Modeling: Strong skills in dbt, including writing modular SQL transformations, building data models, and maintaining dbt projects. SQL Databases: Extensive experience with PostgreSQL, MySQL (or similar), including schema design, optimization, and complex query development. Infrastructure as Code: Production experience More ❯

data warehousing and modelling. Proficiency in C#, Python, Java, or Scala . Hands-on experience with ETL tools (e.g., SSIS) and orchestration tools (e.g., Azure Data Factory). Strong SQL skills and experience with relational databases (MSSQL, PostgreSQL, MySQL). Familiarity with Azure services (Fabric, Azure SQL, Synapse Analytics, Blob Storage) and hybrid cloud/on-prem solutions. Understanding of More ❯

Developer with expertise in .NET technologies, modern JavaScript frameworks, RESTful APIs, and Microsoft Graph API. The ideal candidate will have strong hands-on experience with .NET, React or Angular, SQL, a solid understanding of architecture, and familiarity with Microsoft 365 and SharePoint Online environments. Experience with DevOps pipelines and AI-assisted tools such as GitHub Copilot or Microsoft Copilot is … .NET Framework and modern JavaScript frameworks (React, Angular). Build and consume RESTful APIs and Microsoft Graph API for integration with Microsoft 365 and enterprise systems. Develop and optimize SQL Server databases, queries, and stored procedures. Collaborate with designers and backend developers to ensure seamless, high-performance solutions. Integrate applications with SharePoint Online and Microsoft 365 services when required. Utilize … with JavaScript/TypeScript and frameworks such as React or Angular. Experience developing and integrating RESTful APIs and Microsoft Graph API. Strong database design and development skills using Microsoft SQL Server. Familiarity with data analytics tools (e.g., Power BI, Qlik Sense). Strong problem-solving skills with an eye for design, performance, and scalability. Excellent communication and collaboration skills with More ❯

day-to-day business of a teaching hospital and will work effectively with clinical, operational, finance, transformation, ICT, and other teams. In addition, you will possess: Expert technical skills (SQL, EPIC Reporting Stack, R) innate problem-solving skills detailed understanding of NHS Data Dictionary, Payment by Results and other commissioning options a significant experience with a broad set of NHS … a relevant Masters' degree level qualification or equivalent experience. Experience Essential Significant experience in an information analysis/processing role Proven experience of working with relational databases, including complex SQL Proven experience of using SQL Server to a high standard Proven experience of using MS Excel to high standard Desirable Experience in an Information Analysis role in an NHS or 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 ❯