ekumenlabs - ML Data Engineer
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Requirements
• 5+ years of experience as a Data Engineer, with a strong background in data infrastructure. • Solid problem-solving skills and the ability to juggle multiple priorities without dropping the ball. • Experience designing and maintaining data pipelines with an eye for performance and reliability. • A proactive, ownership-driven attitude, you spot problems before they escalate. • Strong English communication skills (B2/C1). You'll work closely with cross-functional teams and need to articulate both technical and non-technical ideas clearly. • It'd be great if you also have • Experience supporting ML platforms or working alongside data science/ML teams. • Familiarity with cloud platforms (AWS, GCP, or Azure). • Knowledge of observability tools, logging, metrics, and tracing. • A track record of improving system reliability through automation and monitoring.
Responsibilities
• Monitor, investigate, and resolve issues across data ingestion pipelines, and go beyond firefighting to implement lasting solutions. • Act as a data expert: optimize queries, contribute to data architecture decisions, and help teams get the most out of their data. • Provide infrastructure support that improves scalability, stability, and security across internal systems. • Raise the bar for code quality through automation, unit testing, and thoughtful code reviews. • Document code, design decisions, and data sources so your work is maintainable and your teammates can build on it. • Collaborate across disciplines to untangle complex data challenges, and enjoy doing it.
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