Das ist der Job
Continuous learning and adaptation to evolving technologies are essential in this dynamic field.
Darum lohnt es sich
Duties & Responsibilities
Tech Environment:
Terraform; Python 3x; Py Spark Boto3; ETL Docker; Linux / Unix; Big Data; Powershell / Bash Basic experience/understanding of AWS Components (in order of importance): Glue (ETL Scripting) CloudWatch; SNS Lambda; DynamoDB Step Function; Param Store
Responsibilities:
Exceptional analytical skills analysing large and complex data sets Perform thorough testing and data validation to ensure the accuracy of data transformations Strong written and verbal communication skills, with precise documentation Self-driven team player with ability to work independently and multi-task Experience building data pipeline using AWS Glue or Data Pipeline, or similar platforms Experience preparing specifications from which programs will be written, designed, coded, tested and debugged Strong organizational skills.
AWS Data Engineer
Looking for an opportunity with one of the leading companies in the manufacturing industry in search for an AWS Data Engineer that plays a crucial role in building and maintaining the data infrastructure on AWS, ensuring that organizations can effectively and securely manage and analyze their data. Experience in working wi
