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Kubrick’s Data Engineers are able to source, stage, profile and manipulate data from multiple streams, using both internal and external data. They are well-versed in data modelling, data cleansing, error handling, version control and unit testing which allows them to build scalable and robust data pipelines that provision data for analysis and data science. Their comprehensive training prepares them to constantly develop new programming skills in response to evolving technical challenges.
Python, SQL, Alteryx, Tableau, Git, NoSQL, ML&AI, Kubernetes, Hadoop, Spark, Kafka, Jenkins, Microservices, Docker, Cloud Computing.
Kubrick’s Business Data Analysts integrate technology, data management and domain knowledge with their data governance expertise to meet key business objectives. Trained in all aspects of the DAMA wheel with an emphasis on data governance, our Business Data Analysts have a strong understanding of the entire data lifecycle, allowing for a coherent strategy on data policy, lineage and quality.
Collibra, Data Quality, Data Lineage, Governance Standards & Principles, Data Glossaries & Dictionaries, Data Policies, Tableau, Alteryx, SQL.
Kubrick’s Data Transformation Consultants blend their technical and business analytics skills to quickly find data-driven solutions to common business problems. These consultants bridge the gap between business, data and technology, providing transparent communication between the three. They identify business problems through analytics, formulate data questions to model the problem, work with engineers to produce actionable insights and make recommendations on how to create a solution.
Python, SQL, Alteryx, Tableau, Stakeholder Management, Scrum & Agile, Change Management, Requirements Gathering.