1 to 25 of 279 Permanent ETL Jobs

maintaining data architectures Leading projects and teams Ensuring data quality and integrity Preferred skills: Proficiency in AWS Glue, AWS Redshift, and Python Experience with ETL processes, data integration, and data warehousing. Strong SQL skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS more »

RDS (SQL Server) toolsets. Experience with transactional reporting solutions for critical business reporting. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with AWS technologies, including Lambda, SQS, Event Bridge, S3 & RDS. Experience with Python for scripting and automating data tasks. more »

business, data analytics, computer science, or information systems). Strong extensivework experience, ideally within a professional services environment. A deep understanding of data warehousing, ETL processes and data modelling. Expertise in database design and development in Azure SQL Server, Azure Data Warehouse, MS SQL Server and be proficient in creating more »

engineering solutions. Ensure the implementation, and maintenance of complex data engineering solutions to acquire and prepare data and that it adheres to Best Practice. (Extract, Transform, Load) Contributes towards and ensures the delivery of the creation and maintenance of data pipelines to connect data within and between data stores, applications more »

RDS (SQL Server) toolsets. Experience with transactional reporting solutions for critical business reporting. Experience with dimensionally modelled databases for analytics use cases. Knowledge of ETL tools and approaches. Hands-on experience with AWS technologies, including Lambda, SQS, Event Bridge, S3 & RDS. Experience with Python for scripting and automating data tasks. more »

Experience in multidimensional and/or tabular models (SSAS) Microsoft Azure Stack RDBMS: Azure SQL/SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning) ETL/ELT, (ADF, SSIS) Data governance (Purview, Unity Catalogue) Databricks Delta Lake Storage Azure Dev OPS DESIRED SKILLS Advanced Analytics Data Technologies Databricks, Delta Lake more »

the data warehouse meets business needs and performance standards. Responsibilities: Design and develop data models and schemas for the data warehouse. Build and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources. Develop complex SQL queries and scripts to ensure efficient data retrieval and manipulation. Responsible for … ensure proper integration of the data warehouse with other systems. Maintain and support existing data warehouse infrastructure. Develop and maintain documentation for data models, ETL processes, and workflows. Provide support for data-related issues and ad hoc queries from end-users. Requirements: Minimum 3-5 years experience developing and implementing … within financial services (ideally Consumer Credit). Proven experience in data warehousing, data modelling, and database design. Proficiency in SQL (SSMS) and experience with ETL tools (e.g., SSIS, SAS DI, Informatica, Talend). Experience with data warehouse platforms (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, Snowflake). Familiarity with more »

skills. Responsibilities required for the role of Data Warehouse Developer Design and develop data models and schemas for the data warehouse. Build and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources. Develop complex SQL queries and scripts to ensure efficient data retrieval and manipulation. Responsible for … with ad hoc requests such as reporting, hardware refreshes etc. Maintain and support existing data warehouse infrastructure. Develop and maintain documentation for data models, ETL processes, and workflows. Provide support for data-related issues and ad hoc queries from end-users. Experience required for the role of Data Warehouse Developer … Warehouse solutions for managing data and information Proven experience in data warehousing, data modelling, and database design. Proficiency in SQL (SSMS) and experience with ETL tools (e.g., SSIS, SAS DI, Informatica, Talend). Experience with data warehouse platforms (e.g., Microsoft SQL Server, Amazon Redshift, Google BigQuery, Snowflake). Familiarity with more »

Troubleshooting: Strong problem-solving skills for identifying and resolving issues related to reports and data. Data Integration: Experience with data integration techniques, such as ETL processes, to consolidate and prepare data for reporting. Communication Skills: Effective communication and collaboration abilities to work with stakeholders and understand their reporting requirements. Quality more »

Skills: Strong SQL Server experience including T-SQL and performance tuning. Experience building BI solutions and dashboards using tools like Power BI or SSRS. ETL experience with tools such as: Microsoft SSIS Microsoft Power Platform Microsoft Fabric Azure Data Factory Azure DevOps Notebooks and Spark/Python APIs more »

Skills: Strong SQL Server experience including T-SQL and performance tuning. Experience building BI solutions and dashboards using tools like Power BI or SSRS. ETL experience with tools such as: Microsoft SSIS Microsoft Power Platform Microsoft Fabric Azure Data Factory Azure DevOps Notebooks and Spark/Python APIs more »

Advanced skills in SQL programming, with the ability to design, optimize, and maintain complex queries and databases. Strong experience in designing, implementing, and managing ETL processes using Azure Data Factory and other relevant tools. Proficiency in building and managing data warehouses using Azure Synapse Analytics and other data warehousing solutions. more »

through to developing user reports. They will work on the technical aspects of system integration and be involved in the development and maintenance of ETL (extract, transform, load) processes across all systems. The post holder will work closely with colleagues across the organisation to gather requirements and ensure data integrity … ensure that our technical solutions are fully integrated into business processes. Responsibilities: Advanced T-SQL and SSIS development for the creation and maintenance of ETL and reporting solutions. To lead the development and maintenance of custom applications to provide bespoke functionality, for example using .NET Framework, C# or Python. Development … expertise to internal stakeholders for College supported databases. Requirements: Experience of Advanced T-SQL querying and development: Stored Procedures, Views, functions etc. Experience of ETL development using SSIS or similar Knowledge of database and data warehouse design principles Experience of developing and maintaining custom applications to provide bespoke functionality, for more »

data pipelines for data ingestion, processing, and transformation in Azure. Utilise Azure Data Factory, Azure Databricks and SAP Business Objects to create and maintain ETL operations. Deliver dashboard reporting and data sets which are interactive and user-friendly via PowerBI Identifying and integrating external data into the business data model more »

our data systems. Champion data quality principles and best practices throughout the organization. Required Skills and Experience: Advanced proficiency MS SQL Extensive experience with ETL/ELT techniques, data warehouse design, and data visualisation. Strong command of Microsoft tools such as Fabric, Azure Blob Storage, Data Factory, Purview, and Power more »

Azure DevOps, Visual Studio, Tabular Editor Understanding of Microsoft Dynamics, Business Central would be beneficial Solid understanding and experience of database management systems and ETL Framework Experience in leading/motivating teams to deliver meaningful change and drive their professional development. Experience managing and building relationships with internal and external more »

more Cloud platforms such as Microsoft Azure, AWS, Google Cloud is a plus Familiarity with the application of automation and data technologies (e.g. RPA, ETL tools, visual analytics) Formal project management training certification (e.g. PMP, PRINCE2, MSP) or process improvement certification (e.g. Six Sigma 'belt') is preferred Working knowledge of more »

platform, including knowledge about its architecture, services, and security measures. * Data Engineering: A strong background in data engineering, with thorough understanding of concepts like ETL (Extract, Transform, Load), data cleaning, data structures, and data warehousing. * Azure Data Services: Hands-on experience with Azure data services like Azure SQL Database, Azure more »

data solutions, ensuring robust data systems, and enhancing data consumption capabilities across the organization. The ideal candidate will have expertise in data systems architecture, ETL/ELT development, and modern data technologies, with a strong focus on cloud platforms. This position requires collaboration with various departments, providing technical support, optimizing … solutions with an upfront focus on testing and long-term support. Analyze and identify source-to-target mappings, develop ETL/ELT specifications, and perform ETL/ELT development, deployment, and monitoring for enterprise data warehouse systems. Executes Data Services strategy utilizing modern data technologies including Cloud data platforms and … requirements. Also coordinate activities to facilitate internal and user acceptance testing. Interact and integrate with internal and external teams and systems to extract, transform, and load data from a wide variety of sources. Perform and support query optimization (for performance and/or cost reduction) and development (query design and more »

writing TSQL and performance tuning is essential. * Experience building BI solutions and dashboards using reporting and visualisation tools such as Power BI or SSRS. * ETL experience; experience with some of the following would be expected: o Microsoft SSIS o Microsoft Power Platform o Microsoft Fabric o Azure Data Factory o more »

of the below: - Cloud technology (Azure or AWS) - this organisation are migrating to cloud soon, so any experience here would be great - Data engineering (ETL) - designing and developing processes, both on-premise and maybe even cloud - Exposure to BI Tooling - Power BI would be great, however other tool are considered more »

to 5 years minimum experience working as a Data Engineer, utilising the following technologies, languages, tools and methodologies: - Databricks Python TSQL/T-SQL ETL Test Automation Unit Testing/Mocking Refactoring Agile/Scrum Methodologies Any experience working with the following is an advantage but is NOT essential: - PowerShell more »

Industry Sector Preferred Google Cloud Platform Time-Series Data Building Control and Monitoring Systems Java, Scala, Python, Spark, SQL Experience of developing enterprise grade ETL/ELT data pipelines. Deep understanding of data manipulation/wrangling techniques Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit more »

with AWS cloud technologies such as S3, EMR required. 5+ years of SQL experience. 3+ years of experience in Agile SDLC. Solid understanding of ETL/ELT methodologies. Proficiency with Python and scripting languages, 3+ years of experience preferred. Solid understanding of industry standards in analytical data modeling techniques. Preferred more »

to ensure data is accessible, reliable, and ready for analysis. Key Responsibilities: Data Pipeline Development : Design, build, and maintain data pipelines to ingest, transform, and load data from various sources into AWS data storage solutions. Data Integration : Implement ETL (Extract, Transform, Load) processes using AWS services such as AWS Glue … Java, or Scala. Experience with AWS services including S3, Redshift, Glue, Lambda, and RDS. Strong SQL skills for data manipulation and querying. Familiarity with ETL tools and processes. Understanding of data modeling and database design. Soft Skills : Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Detail-oriented more »