Plano, Texas
•
Today
Job Description: Hands-on experience with one or more AWS data lake technologies: Data Lake: AWS Lake Formation, AWS Glue, AWS Step Function, AWS Lambda Data Movement: AWS CLI, Python API, Spark, Python Boto3 Data Analytics: AWS Athena, S3 Select, EMR, Redshift Compute/Storage: AWS S3, AWS EC2 Knowledge of at least one scheduling tool, Control-M Preferred Working experience in one or more of the following languages: Python (Preferred),Java/Scala (Good to Have) Knowledge and experience with
Easy Apply
Full-time
USD 50.00 - 55.00 per hour

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