Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- 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**.
- Exposure to **Elasticsearch.**
Benefits
- Health insurance
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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