Data Engineer at Orca-AI
Worldwide
<p class="editor-paragraph"><span style="white-space: pre-wrap;">**This is a remote position for candidates in Athens metropolitan only***</span></p><p class="editor-paragraph"><span style="white-space: pre-wrap;">We are looking for a highly skilled Data Engineer to join our Data Platform team and play a key role in designing, building, and evolving the company’s data infrastructure.</span></p><p class="editor-paragraph"><span style="white-space: pre-wrap;">This is a hands-on engineering position focused on developing scalable data platforms, high-volume ingestion pipelines, and the foundational data systems that power analytics, product applications, AI workloads, and large-scale model execution. You will help architect our data lake, build reliable ingestion capabilities at scale, and shape the core infrastructure that supports the company’s future growth.</span></p><p class="editor-paragraph"><span style="white-space: pre-wrap;">This is an exciting opportunity to work with cutting-edge technologies and have a defining impact on the architecture and evolution of our data platform.</span></p><p class="editor-paragraph"><br></p><p class="editor-paragraph"><span style="white-space: pre-wrap;">What You’ll Do</span></p><ul class="editor-list-ul"><li value="1" class="editor-listitem"><span style="white-space: pre-wrap;">Build complex, high-volume batch and near-real-time ingestion services while helping evolve the platform’s streaming capabilities.</span></li><li value="2" class="editor-listitem"><span style="white-space: pre-wrap;">Design and implement data solutions for all application requirements in a distributed microservices environment</span></li><li value="3" class="editor-listitem"><span style="white-space: pre-wrap;">Develop and optimize large-scale data pipelines for batch and streaming use cases.</span></li><li value="4" class="editor-listitem"><span style="white-space: pre-wrap;">Ensure data quality, compliance, and governance.</span></li><li value="5" class="editor-listitem"><span style="white-space: pre-wrap;">Manage and optimize Kubernetes infrastructure, utilizing KEDA to dynamically scale resources for large-scale data processing workloads.</span></li><li value="6" class="editor-listitem"><span style="white-space: pre-wrap;">Own the full lifecycle of our data stack using Terraform and Kubernetes, from provisioning to application-level frameworks.</span></li><li value="7" class="editor-listitem"><span style="white-space: pre-wrap;">Provide technical guidance for the team, drive best practices around infrastructure, CI/CD, testing, and system design.</span></li><li value="8" class="editor-listitem"><span style="white-space: pre-wrap;">Deep-dive into memory management and performance tuning to ensure our large-scale distributed systems are both cost-effective and lightning-fast.</span></li></ul><p class="editor-paragraph"><br></p> <br><h3>Requirements</h3> <ul class="editor-list-ul"><li value="1" class="editor-listitem"><span style="white-space: pre-wrap;">5+ years of experience as a Data Platform/Infra Engineer</span></li><li value="2" class="editor-listitem"><span style="white-space: pre-wrap;">Proven track record of building and operating scalable data infrastructure specifically within Data Lake architectures.</span></li><li value="3" class="editor-listitem"><span style="white-space: pre-wrap;">Proven experience designing and operating large-scale data processing workloads on Kubernetes, including workload autoscaling with KEDA.</span></li><li value="4" class="editor-listitem"><span style="white-space: pre-wrap;">Strong proficiency in Python and SQL. </span></li><li value="5" class="editor-listitem"><span style="white-space: pre-wrap;">Hands-on experience with Infrastructure as Code, preferably Terraform.</span></li><li value="6" class="editor-listitem"><span style="white-space: pre-wrap;">Experience with managing a data orchestration platform such as Airflow or Prefect</span></li><li value="7" class="editor-listitem"><span style="white-space: pre-wrap;">Experience with Snowflake.</span></li></ul><p class="editor-paragraph"><br></p>
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