Data Engineer (m/w/d)
Core
Develop data infrastructures, data warehouses, and pipelines to solve critical customer problems on real data.
Role type
Data Engineer
Builds
Data Warehouses, Data Pipelines, (Reverse)ETL processes, CI/CD pipelines, and interfaces to operational systems.
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Cloud platforms, Data modeling, ETL processes, CI/CD, Machine Learning deployment
Preferred skills
R, JavaScript, Docker, Kubernetes, Data visualization tools, Machine Learning frameworks
Technologies
Python, R, JavaScript, SQL, dbt, Google Dataflow, Pandas, Docker, Google Kubernetes Engine, CI/CD, BigQuery, Google Firestore, Tableau, PowerBI, Plotly, Matplotlib, Google Data Studio, SciKit, xgboost, NLTK, spaCy, Keras, PyTorch, Prophet
Responsibilities
Develop technical solutions for customer challenges, build ETL processes and data models, deploy machine learning models, establish CI/CD processes, develop interfaces to operational systems, deploy in cloud systems and support practice tests.
Seniority
Individual Contributor
