have a remote opportunity available for a talented Data Engineer on a permanent basis for one of our clients Mining related data, ETL, cloud platforms (preferably Azure), programming skills, and big data technologies responsible for building and maintaining scalable data pipelines and processing systems that will be used vast data sources. Responsibilities: Develop and maintain data pipelines, ETL processes and data integration systems and data. Collaborate with Data Scientist, Analysts and other stakeholders. Ensure data quality and
searching for a technical specialist. The purpose of the Data Specialist is to use their database, software engineering the necessary data is properly stored on the cloud platform and is available to the data scientists. Experience modelling of data Systems engineering and implementations experience Experience on the data services on Plan Design Data modelling using: Table structures Store Procedures SSIS Packages SQL Cloud Data Services: Implementing data pipelines using cloud infrastructure and services No-SQL experience on the cloud Data engineering
industry who has an amazing opportunity for a Lead Data Architect (Cloud Solutions) on a permanent basis MapReduce, S3, RedShift, Glue, etc.) Experience in Data Lake and relational databases (RDB) 8-10 years' contemporary architectural principles across the data architectural domain Understanding of enterprise
CLOUD DATA ENGINEERS An exceptional company, within the media industry, is looking for a Cloud Data Engineer years' development experience working with Python Data Skills - Traditional SQL and No-SQL Large scale
Lead Data Architect to join their dynamic team in the Financial Services sector. As the Lead Data Architect our data architecture strategy, driving innovation, and ensuring the seamless integration of data solutions or Google Cloud Platform, including knowledge of data storage, compute, and security services. 10 years' in designing and implementing Data Lake and RDB solutions, ensuring data quality, scalability, and performance as microservices, event-driven architecture, and data governance. Strong analytical and problem-solving
Xcede We have a current opportunity for a Senior Data Analyst on a permanent basis. The position will every now and then for meetings, etc.) This Senior Data Analyst position is within the Financial Services team. The perfect candidate must have a passion for Data warehousing and must be very technical. MUST HAVE's: track record with data development / data warehousing / cloud engineering / data lake / data analytics) AWS
Xcede Seeking a professional data engineer is a professional with expertise in designing, building , conjunction with Data Scientists and Software Engineers Some key responsibilities of a data engineer include: building, and maintaining data pipelines that move data from various sources into a data warehouse or other Creating and optimizing data storage solutions for efficient and cost-effective data retrieval and analysis analysis Developing and maintaining data security and privacy measures Building and deploying machine learning
Xcede Job Opportunity: Senior Data Engineer Are you an experienced Senior Data Engineer with a passion for scalable data processing systems? Join our dynamic team and contribute your expertise to drive our data infrastructure infrastructure to new heights Role: Senior Data Engineer Skills: SQL, Python, Java, Hadoop Experience: Experience: Designing, building, and maintaining data processing systems with a focus on scaling and performance cross-functional teams to architect, build, and enhance data processing pipelines. Utilize your expertise in
Developer/Engineer with a passion for data engineering, application development, and data architecture? Are you skilled Implement data engineering and application development best practices to ensure efficient data processing optimise data models, data pipelines, and data integration processes. Create and maintain scalable data warehouses warehouses and data marts. Develop and maintain ETL processes using industry-leading tools and technologies translate them into technical specifications. Perform data analysis and provide actionable insights to drive
BI interfaces. We want you to manage our clients data retrieval and analysis within their company, by by providing them with clean and comprehensible data to the end-user that can be efficiently used to create successful incumbent will build a bridge between data and the people who need to query it, but who lack environment. Hands-on experience with T-SQL, SSIS, Data Warehousing, SSAS and Power BI 5 years of experience Design, develop and maintain ETL process using SSIS. Data warehouse design, maintenance and re-architecture