Design, develop, and maintain scalable real-time data pipelines and own cloud-based infrastructure while mentoring engineers and collaborating with various stakeholders.
Design, develop, and maintain scalable real-time data pipelines to support analytics and operational use cases.
Own and operate cloud-based infrastructure, following a “you build it, you run it” model to ensure reliability, performance, and scalability.
Develop and manage data products, collaborating with a diverse set of stakeholders including product managers, analysts, and engineering teams.
Mentor and support other engineers, contributing to a collaborative and high-performing engineering culture.
Build a deep understanding of a complex business domain and work effectively across teams with multiple dependencies.
Own features end-to-end, from design and implementation through deployment, monitoring, and ongoing improvement.
6+ years of experience in DevOps, Data Engineering, or Software Engineering.
Strong proficiency in Java.
Experience working with streaming platforms or message queues (e.g., Kafka, Kinesis, RabbitMQ).
Solid understanding of distributed systems and associated architectural trade-offs.
Strong written and spoken English communication skills.
Experience with Infrastructure as Code tools (e.g., Terraform, Pulumi).
Experience working with cloud platforms (AWS, GCP, or Azure).
Familiarity with stream processing frameworks such as Flink, Kafka Streams, or Spark.
Experience with Python.
Kpler builds a platform that simplifies global trade information, providing insights specifically for the commodities, energy, and maritime sectors. Our service empowers organizations to make informed decisions by navigating the complexities of these markets.
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Senior Data Engineer Q&A's