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Designing, developing, testing, and maintaining data architectures.Automating repetitive tasks and manual processes related with the data usageDesigning, developing, and testing large stream data pipelines to ingest, aggregate, clean, and distribute data models ready for analysisLeveraging best practices in continuous integration and delivery Collaborating with other engineers, ML experts, analysts, and stakeholders to produce the most efficient and valuable solutions Contributing to our data democratization and literacy vision by making accessible and easy-to-use data products and tools Implementing features, technology, and processes that move us towards industry best practices, improving on scalability, efficiency, reliability, and securityWorks well with people and is passionate about helping people be their bestShows solid reasoning and decision making, with the ability to work under pressureIs curious, always learning, and keeping up to date with the industry Has a deep understanding of data pipelining, streaming, and Big Data technologies, methods, patterns, and techniques.
Has a solid grasp on data modeling, schema design, data warehouse, and data lake design and implementationCan automate tasks using shell scripting or writing small applicationsBachelor’s Degree or Advanced Diploma in Information Systems, Computer Science, Mathematics, Engineering and a minimum of 3 years experience in a software/technology environment is required. In the event that a candidate does not have a Bachelor’s Degree or an Advanced Diploma , an equivalent experience requirement must be met, which equates to a minimum of 6 years experience in a software/technology environment.Significant technical experience and a proven track record of data modeling and schema design A thorough understanding of database and data warehousing principles Familiar with CI/CD tools such as Jenkins, Travis, Circle CI, etc.Experience with stream data pipeline frameworks or solutions such as Apache Flink, Apache Beam, Storm, Databricks, etc.Experience working in cloud environments
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