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Role - AWS Data EngineerStrong
Experience Range 4-10 Years
Hands-on experience in Python programming and PySpark · Experience using AWS services (RedShift, Glue, EMR, S3 & Lambda) · Experience working with Apache Spark and Hadoop ecosystem. · Experience in writing and optimizing SQL for data manipulations · Good Exposure to scheduling tools. Airflow is preferable. · Must – Have Data Warehouse Experience with AWS Redshift or Hive · Experience in implementing security measures for data protection. · Expertise to build/test complex data pipelines for ETL processes (batch and near real time)Desired Candidate Profile
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