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
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
Xcede Are you a Data Scientist with a passion for solving complex problems in the financial services valuable data sources and creating processes for collecting, parsing, managing, and refining data Developing and internal teams through clear and compelling data visualizations and presentations Continuously monitoring fast-paced consulting environment, while leveraging your data science skills to solve real-world business problems
will have a strong background in .Net development, data extraction, problem-solving skills, and a keen eye incident reports System testing SQL queries and data extracts Analysis of log files Specification writing
infrastructure, software technologies, networking, Data Centres, hardware, and integration Experience and
product teams, uniting with design, engineering, and data science experts. Strategic Visionary: Leverage your