Senior Python Data Engineer

Summary

Join Nagarro, a global digital product engineering company, and build cloud-native and hybrid data/machine learning pipelines. Collaborate with a team of architects, engineers, and scientists to develop enterprise tools for ML model research and provide technical support. You will organize and prepare data for modeling, identify automation opportunities, and leverage your expertise in Python, data engineering, and cloud technologies. This role requires a Bachelor's degree in computer science and 7+ years of software engineering experience. You'll work with various data integration and analytics tools in a Linux environment. Nagarro offers a dynamic and non-hierarchical work culture.

Requirements

• Bachelor’s degree in computer science or a similar field
• 7+ years of 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 solution
• 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
• Familiarity with MLops