Senior Python Data Engineer (ML project)

Company Description 👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17 500+ experts across 37 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us. Job Description

• 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).

Qualifications

• 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.

Additional Information Nice-to-have:

• 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.