
Data Engineering Lead
17 hours ago
We are seeking an experienced Data Engineering Lead to lead our team in designing and implementing scalable data pipelines and advanced machine learning models.
The successful candidate will have a proven track record in architecting and deploying scalable data pipelines and ML models in production environments, preferably in telecom, enterprise software, or high-volume data environments.
Responsibilities include developing a roadmap for integrating advanced ML models into our observability platform, establishing best practices for data governance, quality, security, and compliance, and collaborating closely with cross-functional teams to align data initiatives with overall product strategy.
The ideal candidate will have expertise in programming languages such as Python, familiarity with data processing frameworks like Apache Spark, and experience with deploying, monitoring, and managing AI/ML models in real-time applications.
A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field is required, and relevant certifications in data engineering, cloud architecture, or machine learning are a plus.
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