Responsibilities
Build, deploy and manage big data solutions that can adequately handle the needs of a rapidly growing data-driven company Spearhead the development of systems, architectures, and platforms to scale Volume, Velocity, and Variety Help lead the development of a data lake Streamline data access and security to enable data scientists and analysts to easily access data Build out scalable and reliable ETL pipelines and processes to ingest data from a large number and variety of data sources Maintain and optimize the performance of our data analytics infrastructure to ensure accurate, reliable and timely delivery of key insights for decision making Lead the movement cleaning and normalizing subsets of data of interest as preparatory step before deeper analysis Research, evaluate, and recommend new technology Must Haves An engineering degree with a specialization in Computer Science or ...