Operations team to ensure solutions are releasable, maintainable, and scalable. Develop scalable data engineering platform using cloud infrastructure. Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Build processes for supporting data transformation, data structures, metadata, dependency, and workload management.br Requires a Bachelors degree in Business Analytics, Applied Mathematics, Computer Science, or related field plus 3 years of experience in job offered or related occupations. Position also requires 3 years of experience with Big data tools, such as Hadoop, Spark, Kafka, Hive, Presto, or Impala; Relational SQL and NoSQL databases, including Postgres and Cassandra; Data pipeline and workflow management tools, such as Oozie or Airflow; Devsecops pipeline; AWS cloud services, such as AWS Glue, Lambda, EMR, and Athena; ETL tools IICSTalend; Streamprocessing systems, such as Storm or SparkStreaming; and objectorientedobject function scripting languages, such as PythonPySpark, Java and Scala. Telecommuting is permitted.
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