AWS Data Engineer

Experience working with Amazon Web Services (AWS) infrastructure and technologies; DMS, Glue, 3-5 years experience with automation of DevOps build using GitLab/Bitbucket/Jenkins/Maven;
Experience working directly with technical and business teams; Must have experience with AWS Sagemaker
3-5 years experience AWS cloud and AWS services such as S3 Buckets, Lambda, API Gateway, SQS queues;
3-5 years experience with batch job scheduling and identifying data/job dependencies;
3-5 years experience with data engineering using AWS platform and Python;
Familiar with AWS Services like EC2, S3, Redshift/Spectrum, Glue, Athena, RDS, Lambda, and API gateway;
Familiar with software DevOps CI/CD tools, such Git, Jenkins, Linux, and Shell Script;
Ability to learn quickly, be organized and detail oriented;
Understanding of Spark, Hive, Kafka, Kinesis, Spark Streaming, and Airflow;
Experience in Software Engineering and Development;
Understanding of database schema design;