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Design and maintain ML-optimized data pipelines, collaborate with data scientists, ensure data quality and governance, support MLOps, and leverage distributed processing frameworks.

Design and maintain scalable data pipelines for analytics and ML workloads, ensure data quality, and support MLOps practices at a SaaS company.

As a Senior Data Engineer, design, build, and optimize Azure and Databricks-based data infrastructure, developing scalable ETL pipelines and AI-driven data solutions to support business insights and decision-making.

Design, build, and optimize Azure/Databricks-based data infrastructure and scalable ETL/ELT pipelines. Implement real-time and batch data processing, optimize storage, cost, and performance, and support ML/AI-driven recommenders, search, and personalization. Collaborate with architects, analysts, and product teams to deliver robust data models, APIs, and integrations for analytics and customer applications.

The Senior Site Reliability Engineer will enhance platform reliability, manage Azure Kubernetes environments, automate infrastructure, and lead reliability initiatives.