Senior ML/Data Engineer

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

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

Additional Information

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.

Senior ML/Data Engineer

Key Skills

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