Jr Aws Data Engineer Devops

• Collect manage and convert raw data into usable information for business analysts
• Improve data reliability and quality by combining raw information from different sources to create consistent and machinereadable formats
• Able to integrate various data types and sources (stream API various data formats file formats) into AWS environment
• Development of efficient processing and ETL pipelines for Automotive Customer Web Sales and Media Data
• Develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling
• Datadriven product development in the Customer & Digital Marketing segment
• Conduct complex data analysis and report on results
• Support in turning proofofconcept projects into production ready and scalable software solutions
• Automation through CI/CD pipelines of the delivery of the data science products in our cloud environment
• Troubleshoot and resolve issues in production environments

You have the following qualifications:

• Preferably completed studies with a relevant specialization in Computer Science or equivalent fields
• 3 years Work experience as Data Engineer
• Deep expertise in Python.
• Good hands on experience on AWS Glue AWS S3 AWS Athena AWS Redshift AWS Lambda AWS Step Function AWS Quicksight & AWS Analytics services.
• Extensive experience in cloud technologies and platforms such as AWS Azure or Google
• Handson experience with containerization technologies like Docker and platforms such as Kubernetes
• Understanding of DevOps principles and good experience with CI/CD tools (Git Jenkins Terraform Ansible CloudFormation etc.)
• Software development experience.
• Knowledge about web services APIs RESTful services
• Basic knowledge of system administration in Linux/Unix or Windows virtual networking DNS TCP/IP etc.
• Experience and knowledge about networking and security in cloud environments
• Data engineering knowledge and experience in tools such as Kafka Spark streaming Pentaho Data Integration Talend Apache Hudi etc.
• SQL and NOSQL database engine knowledge such as Oracle MySQL SQLServer Cassandra MongoDB AWS DynamoDB AWS Athena etc.
• Familiar with the concepts of monitoring metrics capacity management (Grafana Prometheus ELK)
• Strong focus on Code Quality Robustness Automation Testing and Monitoring