Data Engineer

Requirements: Must have 5 years minimum hands-on experience with the following: • Writes complex SQL queries required to perform Data Acquisition and Ingestion required for Data pipelines • Builds Data pipelines and does data engineering activities using technologies like Python, Hadoop, Spark etc., • Ensures the upkeep of the Hadoop Data Lake Platform by monitoring the Horton Works HDFS • Monitors the Data Lake constantly and ensures that the appropriate support teams are engaged at the right times • Works in an Agile/Scrum Environment, interacts with a scrum team as well as the Client Stakeholders • Understands the client requirements from Agile scrum user stories and develops low level design required for the user stories • Result Oriented and able to match the pace of work demands of the Program through self-improvement • Experience with GCP - Google Cloud Certified (highly preferred)

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