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
Requirements: Sound knowledge in Python and Java Data Science concepts and principles Experience in tools applications. Architecture and Interface Design. Data modeling and Database technologies (relational,
every company, globally, by harnessing the value of data using high performance, interoperable and simplified simplified solutions are currently looking for an AWS Data Engineer to join their fast-paced and dynamic team enterprise data solutions and applications Analyse, re-architect and re-platform on-premise data warehouses warehouses to data platforms on AWS cloud using AWS or 3rd party services and Kafka CC. Design and build production production data pipelines from ingestion to consumption within a big data architecture, using Java, PySpark
will have the chance to showcase your skills in a data warehouse environment and have a direct impact on developing end-to-end data acquisition processes to be used in population of data warehouse/data marts and/or support the data acquisition development process. Design, develop and execute complex data acquisition B.Sc. or related degree is advantageous Relevant data warehouse and BI solution training is preferred database- and data warehouse modeling skills, in order to understand the data warehouse data models. Terra
specifications Development of MS SQL and Power BI data models with required interfaces and ETL Development report bursting Experience in Dataflows for enhanced data preparation and transformation capabilities Administration analytical ability to turn large amounts of raw data into insightful and actionable visual information understanding of when to rely on DAX queries vs a data model Optimization of MS SQL queries/views and ETL/SSIS
performant applications Implementation of security and data protection Reference Number for this position is