Data Engineer (AWS, Spark, Python & DevOps)
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Data Engineer (AWS, Spark, Python & DevOps) Programming: Advanced proficiency in Python (specifically for data manipulation and automation) and SQL Big Data Frameworks: Hands‐on experience with Apache Spark (PySpark) and the Hadoop ecosystem AWS Ecosystem: Deep knowledge of EMR, S3, Glue, Redshift, Lambda, and IAM with DevOps Git (version control) and CI/CD pipelines Infrastructure as Code: Familiarity with Terraform or CloudFormation Location: Dallas Fortworth (DFW), day 1 onsite, later Hybrid (mostly Remote) #J-18808-Ljbffr