Data Engineer (mwd)

Project Description

Our client in Frankfurt is seeking a Data Engineer (m/f/d) with expertise in developing machine learning-based models and pipelines in the AWS Cloud. The successful candidate will be responsible for designing and developing suitable ML models and pipelines, providing support in conceptualizing and aligning with the client, and coordinating workshops. Additionally, they will offer guidance on implementing ML models and pipelines, create MLOps Pipelines and ML models, provide technical support for IT infrastructure development, build APIs and integrate data into applications, automate data processes, and explore ways to enhance data quality and reliability. Required qualifications include a minimum of 3 years of experience with AWS services and tools, Amazon SageMaker, Python/SQL programming languages, and Data Science and Machine Learning knowledge, all supported by at least 1 project reference each. Preferred qualifications encompass expertise in AWS Tools/Services like S3, Lambda, Docker, EC2, DynamoDB, CloudFormation, CloudWatch, and others, as well as familiarity with XGBoost, pandas, data mining, and feature engineering. Strong analytical skills and attention to detail are also desired. This opportunity offers a chance to contribute to the future with a leading consultancy firm, with a focus on strategic transformations and a commitment to both clients and employees.

Skills