Posted:1 hour ago|
Platform:
Work from Office
Full Time
Location: Bangalore Experience: 5 - 7 Years Notice Period: Immediate to 15 Days Overview: We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines that support Machine Learning (ML) and analytics workloads. This role requires close collaboration with ML teams, ensuring high data quality, system reliability, and performance across complex data environments. Key Responsibilities: Collaborate with ML teams to deploy, monitor, and optimize models in production. Build and maintain scalable, high-performance data pipelines and infrastructure. Implement statistical analysis and experimental design to validate data and model performance. Ensure data quality, governance, and system efficiency in large-scale architectures. Monitor, troubleshoot, and optimize data systems and workflows. Required Skills: 56 years of experience in data engineering with a strong background in Python , SQL/NoSQL , and Apache Spark . Solid understanding of data warehousing , data modeling , and architecture principles . Experience with cloud platforms such as AWS , GCP , or Azure . Hands-on experience with ML pipeline tools (e.g., MLflow , Kubeflow ). Familiarity with search , recommendation systems , or NLP technologies . Strong grasp of statistics and experimental design in ML contexts. Proactive problem-solving skills and the ability to work independently or in teams.
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