Senior ML/Data Engineer

Summary

Join Nagarro, a rapidly growing digital product engineering company, and contribute to building innovative cloud-native and hybrid data/machine learning pipelines. Collaborate with a diverse team of experts, including Solution Architects, Data Scientists, and Algorithm Developers. Develop enterprise tools for internal use during ML model research and provide technical support for research and early development. Your responsibilities will include organizing and preparing data for modeling, identifying automation opportunities, and leveraging your expertise in Python, data engineering, and cloud technologies. This role requires a strong background in software engineering and a deep understanding of ML workflows and data infrastructure.

Requirements

• Degree in Computer Science or similar field; a Master’s is a plus
• Professional experience in software engineering with Python including: Very good understanding of the Python Ecosystem (e.g. NumPy, Pandas, Scikit-learn)
• Coding best practices (e.g. TDD, ATDD)
• Application Architecture and Design Patterns
• Testing strategies
• Versioning
• Significant experience with storage technologies and their advantages and disadvantages (e.g. Relational Database, No-SQL Database, Object Storage)
• Very good understanding of ML Workflows and how to provide suitable infrastructure pieces
• Solid knowledge of HPC and AWS based data engineering and analytics solutions
• Experience with various data integration/ETL tools, application integration, business process and data science tools (e.g. Talend, Kubeflow, Spark, Tableau, Flume, Kafka or Databricks)
• Experience working in a Linux environment

Responsibilities

• Build cloud-native and hybrid data/machine learning pipelines
• Collaborate closely with Solution Architects, Cloud/Backend Architects, Data Security engineers, Data Scientists, and Algorithm Developers
• Actively develop enterprise tools for long-term internal use during ML model research
• Provide technical support for research and early development activities
• Organize and collate raw data
• Prepare data for prescriptive and predictive modeling
• Identify opportunities for automating data processes (e.g. curation, validation)

Preferred Qualifications

• Data engineering certification (e.g AWS Professional Solution Architect, IBM Certified Data Engineer) is a plus
• Experience working in an international environment is a plus