Role Overview
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This is a Junior Big Data Engineer position that involves managing and evolving our AWS-based data infrastructure.
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You will be responsible for operating and evolving our big data stack on AWS, including MSK, EMR, Kinesis, Glue, and MWAA. You will also design, implement, and optimize ETL pipelines for large-scale data processing.
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In addition, you will collaborate with the Data Science team to prepare and manage datasets for model training and deployment.
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Key responsibilities include automating existing workflows, contributing to infrastructure-as-code practices, supporting the deployment of internal tools and applications in the cloud, and participating in R&D activities.
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Requirements and Qualifications
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* A basic understanding of cloud environments, preferably AWS
* Knowledge of AWS data services: MSK (Kafka), EMR (Spark/Flink), Glue, Kinesis, MWAA (Airflow)
* Basic experience with infrastructure-as-code tools, such as Terraform or CloudFormation
* A strong interest in big data processing and scalable architecture
* A collaborative mindset, problem-solving oriented, and willingness to learn in a fast-paced environment
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Benefits
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* Flexible and hybrid working options
* Ticket restaurants available
* A supportive and collaborative working environment
* The opportunity to start your career in a dynamic, globally connected company
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Additional Information
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We are an equal opportunity workplace committed to equal opportunity for all applicants and employees.
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Please note that we value diversity and inclusion in the workplace.