Data Engineer
il y a 2 jours
Kpler is a dynamic company dedicated to helping clients navigate complex markets with ease. We simplify global trade information and provide valuable insights to empower organizations to make informed decisions in commodities, energy, and maritime sectors.
Job DescriptionWe are seeking a Staff Data Engineer to participate in the evolution of our data platform and related services. As a key member of our team, you will be responsible for extracting and consolidating disparate data sources, applying algorithms to large datasets, and making them available to both internal and external clients.
Responsibilities:- Provide architectural guidance and technical hands-on leadership to drive the best engineering practices and architectural standards.
- Drive the development of high-throughput, low-latency data pipelines using Python, Scala, and Kafka.
- Collaborate with the product team to shape the roadmap and build ambitious yet sustainable plans.
- Prioritize operational excellence by building robust, scalable, and cost-efficient applications.
- Ensure the team commits to its Service Level Objectives (SLO) and helps improve it.
- Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent.
- Significant experience working with Python, Scala, and Kafka.
- Proven track record of architecting and developing high-throughput, low-latency data pipelines.
- Experience with DevOps and Infrastructure as Code practices.
- Proficiency in building and consuming RESTful APIs.
- Comfortable with SQL and NoSQL databases for OLTP and OLAP usage.
- Knowledge of Spark.
- Experience with ElasticSearch.
- Experience with AWS (or another cloud provider) using Terraform.
- Experience with TradingView.
We are committed to providing a fair, inclusive, and diverse work environment. We welcome people of different backgrounds, experiences, abilities, and perspectives and are an equal opportunity employer.
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