Senior Data Platform Engineer

🔥 1 minute ago

🇬🇷 Greece – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Orca AI

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

📦 Logistics

🚗 Transport

🤖 Artificial Intelligence

Logistics • Transport • Artificial Intelligence

Orca AI is a technology company revolutionizing the maritime industry through its innovative solutions for autonomous shipping. Their products, like SeaPod and FleetView, enhance crew situational awareness and operational safety, utilizing advanced computer vision and AI to automate lookouts and provide real-time insights. By improving navigational decision-making, Orca AI aims to increase safety and efficiency in shipping operations while helping companies achieve sustainability goals.

📋 Description

• Build complex, high-volume batch and near-real-time ingestion services • Help evolve the platform’s streaming capabilities • Design and implement data solutions for application requirements in a distributed microservices environment • Develop and optimize large-scale data pipelines for batch and streaming use cases • Ensure data quality, compliance, and governance • Manage and optimize Kubernetes infrastructure using KEDA to dynamically scale resources for large-scale data processing workloads • Own the full lifecycle of the data stack using Terraform and Kubernetes, from provisioning to application-level frameworks • Provide technical guidance and drive best practices around infrastructure, CI/CD, testing, and system design • Perform memory management and performance tuning for large-scale distributed systems

🎯 Requirements

• 5+ years of experience as a Data Platform/Infra Engineer • Proven track record of building and operating scalable data infrastructure specifically within Data Lake architectures • Proven experience designing and operating large-scale data processing workloads on Kubernetes, including workload autoscaling with KEDA • Strong proficiency in Python and SQL • Hands-on experience with Infrastructure as Code, preferably Terraform • Experience with managing a data orchestration platform such as Airflow or Prefect • Experience with Snowflake