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As a Data Engineering, you will mainly tasked with transforming data into a format that can be easily analyzed. You will developing, maintaining, and testing infrastructures for data generation. You will work closely with data scientists and are largely in charge of architecting solutions for data scientists that enable them to do their jobs
✓ Creating and maintaining optimal data pipeline architecture
✓ Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed
✓ Testing such structures to ensure that they are fit for use
✓ Preparing raw data for manipulation by Data Scientists
✓ Building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
✓ Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
✓ Keep data separated and secure across national boundaries through multiple data centers and AWS regions
✓ BSc degree in Computer Science, Engineering or equivalent preferred
✓ Expert proficiency in Python, C++, Java, R, and SQL
✓ Experience with Hadoop or suitable equivalent
✓ Excellent analytical and problem-solving skills
✓ Strong project management and organizational skills
✓ Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
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