176 to 200 of 1,095 Remote ETL Jobs

Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient Python code More ❯

knowledge of Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities: Daily tasks include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, and reusable More ❯

testability Work in the SDET capacity to automate early in conjunction with other engineer’s efforts to build systems. You May Be a Good Fit If 6+ years of ETL Processes/Data Warehouse experience. Experience SQL and PL/SQL scripts for querying data. Experience with ETL Processes (Data Warehouse) and BI tools (Qlikview,Cognos etc.,). Proficient enough More ❯

Kimball methodology. DP-600 – Fabric Analytics Engineer Associate certification. Responsibilities: Your daily role will include, but is not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation to ensure data quality and availability. Writing clean, efficient, and More ❯

Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions for data ingestion, storage, and transformation, ensuring data quality and availability. Writing clean, efficient, and reusable More ❯

database systems, primarily Microsoft SQL Server. Data Warehousing/Data Lakes/Master Data Management/Artificial Intelligence (AI)/Data Governance. The use of REST APIs, JSON and ETL technologies/protocols for moving data between systems. Scripting tools and experience with programming/development in Visual Studio/Python. Some exposure to business intelligence tools, such as Microsoft More ❯

database systems, primarily Microsoft SQL Server. Data Warehousing/Data Lakes/Master Data Management/Artificial Intelligence (AI)/Data Governance. The use of REST APIs, JSON and ETL technologies/protocols for moving data between systems. Scripting tools and experience with programming/development in Visual Studio/Python. Some exposure to business intelligence tools, such as Microsoft More ❯

the attached document for the full job description. Person Specification Experience Design and implementation of complex data models for Business Intelligence and Advanced Analytics Design and implementation of complex ETL/ELT processes Experience in a supervisory role Deep knowledge of NHS data and issues Visualization and report writing skills Performance management experience Experience in change management and delivering successful More ❯

Essential Core Technical Experience 5 to 10+ years of experience in SQL Server data warehouse or data provisioning architectures. Advanced SQL query writing and stored procedure experience. Experience developing ETL solutions in SQL Server, including SSIS & T-SQL. Experience with Microsoft BI technologies (SQL Server Management Studio, SSIS, SSAS, SSRS). Knowledge of data/system integration and dependency identification. More ❯

the attached document for the full job description. Person Specification Experience Design and implementation of complex data models for Business Intelligence and Advanced Analytics Design and implementation of complex ETL/ELT processes Experience in a supervisory role Deep knowledge of NHS data and issues Visualization and report writing skills Performance management experience Experience in change management and delivering successful More ❯

preferably Microsoft Azure and Data Bricks, however, we're also open to applications from candidates with experience from other cloud providers like AWS or GCP. Strong technical experience with ETL techniques, programming languages and data engineering tools such as SQL, Python, R and Apache is fundamental for the role, as is good knowledge of data integration and data quality management More ❯

enabling new tooling as required by the team • Management and promotion of data science models to higher environments • Deployment and maintenance of wider cloud services for foundational capabilities (databases, ETL tooling, storage etc) • Collaborate with business and technical teams to agree services required and enable them with clear communications of status, and usage • Continuously explore new data analytics techniques and More ❯

government/industry Hub and Spoke architecture patterns. Experience and detailed understanding of AWS and/or Azure data provision through a loosely coupled cloud stack including Data Integration (ETL/ELT) eg Spark and/or Informatica, Data Quality, Data Catalogue, data storage to provide multi-cloud analytical and insight data for our critical data analyst and data science More ❯

job description. Person Specification Experience Essential MS SQL Server - development Design and implementation of complex data models used for Business Intelligence and Advanced Analytics Design and implementation of complex ETL/ELT processes used for Business Intelligence and Advanced Analytics Experience in a supervisory role In-depth knowledge of NHS data and issues Visualization and report writing skills Significant experience More ❯

and ability to troubleshoot complex data pipeline issues. Desirable: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK More ❯

and ability to troubleshoot complex data pipeline issues. Desirable: Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK More ❯

technology. Your work will be to: Design and Develop Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using More ❯

staff. Responsibilities: Data Pipeline Development: Design, develop, and maintain scalable and efficient data pipelines for ingesting, transforming, and loading data from various sources. Utilize SSIS to create and manage ETL (Extract, Transform, Load) processes for seamless data integration. Data Modeling and Architecture: Collaborate with data architects and analysts to understand data requirements and implement efficient data models. Ensure data architecture … and models support business needs and are scalable for future growth. SSIS Expertise: Demonstrate expertise in SQL Server Integration Services (SSIS) for building and managing ETL processes. Optimize and troubleshoot SSIS packages for performance and reliability. Data Quality and Governance: Implement data quality checks and validations within ETL processes to ensure accurate and reliable data. Adhere to data governance and More ❯

We are looking for an experienced data engineer to maintain, improve and develop our ETL pipelines. As a Data Engineer, you will be working within the business, collaborating with partner teams on data consolidation and reporting initiatives enabling the business to make data driven decisions. This is a new role and a fantastic opportunity for someone to make their mark … located across North America, Europe, and Asia Pacific. Responsibilities Design, develop, and maintain data infrastructure, including warehouses, lakes, databases, and ETL pipelines. Build scalable data pipelines to extract, transform, and load data while ensuring data quality and consistency. Implement data quality controls and validation processes. Monitor and analyze data trends to identify improvement opportunities. Clearly communicate complex technical scenarios to More ❯

BI reports, data products and documentation Supporting the build, maintenance and operation of Data environments and data-streaming systems Debug, resolve and optimise data processing and analytics issues Writing extract, transform, load (ETL) scripts and code, ensuring the ETL process performs optimally Supporting the development of data migration, data processing and data integration processes PROFILE Required Skills: Experience working with … ETL platforms Experience with Python and its numerical, data and machine learning libraries Experience of working in an agile software development environment Familiarity with business and data process mapping, and data process improvements Excellent communication skills Desired Skills: Familiarity with Java Azure or AWS Certified Experience of setting up and administering analytics services, including Power BI or Pentaho BA Experience More ❯

infrastructure needs to be smarter, faster, and more impactful than ever before. That’s where you come in. 🔍 What you’ll be doing: Leading the design and migration of ETL pipelines and data warehouses into cloud environments (AWS) Working with technical and non-technical stakeholders to scope and build insightful reporting and data solutions Creating robust QA processes and automating More ❯

infrastructure needs to be smarter, faster, and more impactful than ever before. That’s where you come in. 🔍 What you’ll be doing: Leading the design and migration of ETL pipelines and data warehouses into cloud environments (AWS) Working with technical and non-technical stakeholders to scope and build insightful reporting and data solutions Creating robust QA processes and automating More ❯

to support project controls and reporting use cases. Implement integration of external data sources, including: Primavera P6 EPPM via REST and SOAP APIs. EMiR (WGM cost repository) through structured ETL/ELT processes and ODBC direct connection. Design and manage integrations with Microsoft Dataverse, PowerApps, SharePoint, and other systems as required. Establish and optimise Lakehouse and Data Warehouse structures to More ❯

guidance to key stakeholders. Maintain and optimise reporting outputs, identifying areas for enhancement and automation. Conduct ad-hoc analysis to meet dynamic business needs. Write complex SQL queries to extract and manipulate data across large-scale database environments. Support transformation and change initiatives by providing insights and reporting capabilities that improve data integrity and performance. Lead delivery of advanced analytics … technical concepts clearly and concisely. Strong time management and multi-tasking abilities. Desirable: Familiarity with agile development methodologies and Jira. Experience with Power BI. Understanding of data warehousing and ETL concepts. Experience evaluating external data sources for quality and value. Key Attributes Highly motivated, proactive, and capable of working independently. Organised, efficient, and detail-oriented. Skilled in building collaborative relationships More ❯

Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities: Your daily responsibilities will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring data availability and quality across the organization. Writing More ❯