enterprises as well as dynamic start-ups is looking for a Data Engineer to join an environment of like-minded engineers Responsibilities: Build data warehouse components on Teradata warehouse Present data on dashboards and visualisations visualisations on Power BI Comply with all data governance, like documenting data definitions and business glossaries delivering a client project at a financial Build data systems and pipelines Evaluate business needs and and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive
management services have an open role for a Data Engineer to execute data engineering duties according to the maintain complete data architecture across several application platforms Analyse data elements and systems loading of data Build, create, manage and optimise data pipelines Create data tooling, enabling data consumers consumers in building and optimising data consumption Execute on the design, definition and development of performing root cause analysis on internal and external data and processes Knowledge of integration patterns
within a consultancy known for leading a world class data analytics/warehouse capability and specialising vacancy for a Senior Data Engineer to deliver digital solutions If you are a passionate data engineer with experience experience in data warehousing, data lakes, cloud technologies , and ETL tools , we encourage you to Responsibilities: Design and develop data warehousing and data lake solutions to support business needs as AWS Glue, Azure Data Factory, Matillion, SSIS Collaborate with data analysts, data scientists, and business
enabling economies to thrive are in the market for a Data Scientist with a specialist skill set. The main is to create and facilitate appropriate access to data for key stakeholders and creating visibility for to do routine data cleaning and analysis tasks Identify patterns and correlations in data from which hypothesis Ability to turn data insights into practical actions resulting in improved results Data Visualization Change available data (Logistic regression, random forest, etc) Data cleaning and pre-processing (Size, data distribution