Junior Data Engineer
- Get up to speed with our domain, working independently on some tasks, with support on more complex projects.
- Working alongside other engineers, take responsibility for the development and implementation of our core data ingestion and distribution pipelines, and associated back-end systems based on project requirements and design specifications.
- Help to troubleshoot and optimise existing workflows to improve performance and efficiency. Ensure data integrity and accuracy across various pipelines.
- Demonstrate strong analytical and debugging skills with a proactive approach to learning.
- Are proficient in Python, or other scripting languages, with experience in data manipulation and transformation (such as with Pandas ).
- Are familiar with SQL , RDBMS or Big Data technologies.
- Have knowledge of data integration, ETL processes, and batch/streaming data processing.
- Are comfortable working with Git , code reviews, and Agile methodologies.
- Have an understanding of containerisation and orchestration tools (e.g., Docker , Kubernetes, Airflow ).
- Are eager to learn new languages and technologies.
- Have experience with Scala.
- Are familiar with Machine Learning, especially with NLP.
- Have worked with Kafka or other message-broker technologies.
- Have exposure to Elasticsearch.
- Have worked with AWS (or another cloud provider), using Terraform .
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