26 to 50 of 236 ETL Jobs with Remote Work Options

Strong network and firewall knowledge Strong Information Security and IT security/Cyber controls Deep experience/understanding of all elements of data engineering (extract/transform/load), visualization, analytics, and machine learning Designing, deploying, maintaining, and developing data systems and controls. Benefits This is a fantastic opportunity for more »

working with relational databases Experience in data visualization best practices and storytelling with data Understanding of business intelligence concepts and data analytics Knowledge of ETL processes and data integration Experience with data warehousing and data governance Strong problem-solving and analytical skills Excellent communication and collaboration abilities Attention to detail more »

apply) DevOps/MLOps (CI/CD, Release Management, Kubernetes, Docker) Programming skills, with experience of writing clean, well-documented, and unit-tested python ETL processes to read, transform, and verifying data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake more »

apply) DevOps/MLOps (CI/CD, Release Management, Kubernetes, Docker) Programming skills, with experience of writing clean, well-documented, and unit-tested python ETL processes to read, transform, and verifying data using tools such as SQL and PySpark Cloud technologies and architecture including Databricks, Kubernetes, Data/Delta Lake more »

experience within the industry Lead Engineering engagement with Actuarial SMEs and Underwriters Mentor Analytics Engineering team members to develop and maintain end-to-end ETL processes Maintain a high level of coding and technical standards across the team Demonstrate a high level of technical capability in Python, SQL, and JSON more »

seeking Senior Data Engineers to contribute to innovative data projects within a leading financial institution. Key Responsibilities: Data Engineering: Design and implement data models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and more »

messaging concepts like producers, consumers, and message queues. • Data Quality and Governance • Data Integration and ET L - Demonstrable Ability to author data transformations using ETL tools such as DBT. • Cloud Platforms - The company are Azure hosted and experience of this is a strong preference. However other Cloud platforms like AWS more »

concepts, including infrastructure as code, serverless computing, and containerization. Expertise in designing scalable and resilient architectures for data-intensive applications. Familiarity with data modeling, ETL processes, and data integration techniques. Proficiency in programming languages commonly used in cloud environments (e.g., Python, Java). Strong knowledge of security principles and best more »

to (url removed) or alternatively, give me a call on (phone number removed). Keywords: Azure, Microsoft SQL Server, SQL Server, Data Platform, Databricks, ETL, DevOps, Data Warehouse, Architecture, Development, SSIS, T-SQL, SQL, ADF, Data Factory, RDBMS, London more »

deadlines. Develop and uphold the best practice standards, design patterns and documentation for data management and data engineering. Design, build, and manage data pipelines, ETL processes, and data orchestration workflows that transfer data smoothly across different systems and platforms. Create system design for integrating and managing data. Ensure that you more »

global business logic into the output’s tables. Ensure a high level of data governance across all data sources Assist in monitoring and improving ETL processes Produce recommendations based on findings Feedback any highlights/concerns to the team. Work closely with wider MI & R and TSOC teams such as more »

modelling, data mart, and data warehouse development Exposure to Snowflake: building stages, creating schemas and scheduling tasks would be a distinct advantage Understanding of ETL/ELT best practices Exposure in some form of Project Management methodology, existing team work to a version of agile Understanding of Data visualisation principles more »

and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL pipelines, SaaS models, databases and vector stores. The MLOps Lead would need to act as an interface between data scientists, the data & analytics team and more »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model more »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model more »

portfolios. Utilize advanced statistical, mathematical techniques, and modern cloud computing technologies to drive precision and effectiveness. Develop Essential Tools and Applications : Create APIs and ETL pipelines, enriching our models with vital market and portfolio data. Further, you will enhance our Streamlit landing page, integrating comprehensive data access, visualizations, and model more »

technical field. Familiarity with tools and/or languages such as Graph DBs/Cypher, PostgreSQL/SQL, or Java. Experience with data conversions and Extract, Transform, and Load (ETL) tools and concepts. Demonstrated experience with enhancing, managing, optimizing performance, and processing large volumes of data. Familiarity with industry best more »

communication skills and ability to work effectively in a remote setting. Nice to Haves: + Experience with SQL Server Integration Services (SSIS) or similar ETL tools. + Understanding of Authentication via SSO + Experience with Infrastructure as Code (Azure ARM/Bicep) What’s on Offer: + A fully remote more »

communication skills and ability to work effectively in a remote setting. Nice to Haves: + Experience with SQL Server Integration Services (SSIS) or similar ETL tools. + Understanding of Authentication via SSO + Experience with Infrastructure as Code (Azure ARM/Bicep) What’s on Offer: + A fully remote more »

communication skills and ability to work effectively in a remote setting. Nice to Haves: + Experience with SQL Server Integration Services (SSIS) or similar ETL tools. + Understanding of Authentication via SSO + Experience with Infrastructure as Code (Azure ARM/Bicep) What’s on Offer: + A fully remote more »

Azure and Snowflake, enhancing data capabilities for analytics and science. What you need: 3+ years of hands-on experience as a Data Engineer, building ETL pipelines and managing data lifecycle. Strong Python coding experience. 2+ years of commercial experience developing in Snowflake. Good understanding of cloud principles (ideally Azure but more »

with excellent analytical and problem-solving abilities Expertise using modern data tools (SQL, Python) Snowflake and AWS experience preferred. Good knowledge of Data Warehouses, ETL pipelines Good understanding of Cloud-based environments AWS and/or Azure Good appreciation of the modern software development lifecycle, CI/CD Benefits for more »

Experience with Real Time data analysis and financial systems (preferred). Knowledge of database design principles, performance optimization, and Datamodelling. Familiarity with data integration, ETL processes, and data warehousing. Excellent problem-solving skills and the ability to work effectively in a fast-paced environment. Strong communication and teamwork skills. A more »

is an exciting opportunity to contribute to the success of a forward-thinking property management company. Responsibilities: Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory. Optimize data storage and retrieval processes to ensure scalability, reliability, and performance. Collaborate with cross-functional teams to understand data more »

your problem-solving skills and creativity. Google Cloud Professional Cloud Architect or Professional Cloud Developer certification Very Disrable to have hands-on experience with ETL tools, Hadoop-based technologies (e.g., Spark), and batch/streaming data pipelines (e.g., Beam, Flink etc) Proven expertise in designing and constructing data lakes and more »