Duties: Create the conceptual, logical and physical data models. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources like Hadoop, Spark, AWS Lambda, etc. Lead and/or mentor a small team of data engineers. Design, develop, test, deploy, maintain and improve data integration pipelines. Develop pipeline objects using Apache Spark / Pyspark / Python or Scala. Design and develop data pipeline architectures using Hadoop, Spark and related AWS Services. Load and performance test data pipelines built using the above-mentioned technologies. Communicate effectively with client leadership and business stakeholders. Participate in proposal and/or SOW development. Telecommuting is permitted.
Benefits Summary: Health Care Plan (Medical, Dental & Vision); Retirement Plan (401k, IRA); Life Insurance (Basic, Voluntary & AD&D); Unlimited Paid Time Off (Vacation, Sick & Public Holidays); Short Term & Long Term Disability; Employee Assistance Program; Training & Development; Work From Home; Bonus Program.
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