Data Engineer developing core algorithms and back-end pipelines for cargo tracking at Kpler. Collaborating with data engineers and scientists to optimize system performance and data quality.
Responsibilities
Working alongside data engineers, data scientists and product managers, take responsibility for the development and implementation of our core algorithms and back-end data pipelines, based on project requirements and design specifications.
Help clients and internal users benefit from the highest cargo tracking data quality by adding new features and reviewing pipelines and integrations with our datastores.
Help to optimise system performance, maintain features, troubleshoot issues, and ensure high availability.
Demonstrate strong analytical and debugging skills with a proactive approach to learning.
Requirements
Have hands-on experience with **Python**. Experience with **Flask** or **SQLALchemy** is a plus.
Solid **SQL** skills for querying and managing relational databases.
Knowledge of streaming and big data technologies (such as** Kafka or Spark**).
Comfortable working with **Git**, code reviews, and **Agile methodologies**.
Have an understanding of containerisation and orchestration tools (e.g., **Docker, Kubernetes**).
Are eager to learn new languages and technologies.
Have worked with **AWS **(or another cloud provider), using **Terraform**.
Have experience with Scala or other **JVM Languages**.
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