Knowledge and hands-on experience writing effective SQL queries and statements Understanding of AWS services At least 5 years of experience in a similar capacity At least 3 years of proficiency in using Python to develop and modify scripts At least 3 years of proficiency in managing data ingestion and DAG maintenance in airflow Preferred Requirements Knowledge in Hadoop Ecosystem like Spark or PySpark Knowledge in AWS services like S3, Data Lake, Redshift, EMR, EC2, Lambda, Glue, Aurora, RDS, Airflow.

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