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Our client is looking for an experienced Data Engineer who will be responsible for standardizing our data ingestion pipelines and improving performance of data storage and retrieval. Their projects ingest structured and unstructured data from multiple sources, that eventually ends up in a unified Data Lake. This data is available for reporting and analytics by various other teams. This candidate should be comfortable working with SQL as well as NoSQL databases. Cloud experience is a bonus.
The candidates primary focus will be the continuous development/improvement of their data ingestion pipeline, and data parsing. Major technologies involved include include Python, AWS Glue, SQL, MongoDB, ElasticSearch, and NiFi.
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