Consultant Data Engineer
Core
Designing, building, and maintaining data platforms to enable data-driven decision-making for clients across sectors like telecom, automotive, government, banking, and healthcare.
Role type
Consultant Data Engineer
Builds
Scalable data platforms, ETL processes, and data pipelines for analytics and machine learning.
Domain
Data Engineering / Digital Transformation
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Java, C#, R, ETL tools, cloud platforms (Azure, AWS, GCP), containerization (Docker, Kubernetes), data modeling, process modeling
Preferred skills
Experience as a Consultant, analytical ability, problem-solving skills
Technologies
Python, SQL, Java, C#, R, Azure, AWS, GCP, Docker, Kubernetes, Excel
Responsibilities
Analyze current data landscapes and data sources; Develop ETL processes to extract, transform, and load data; Design and implement scalable data models and database structures; Build data pipelines for analytics and ML applications; Support creation of technical documentation and advisory reports; Test and optimize data processes and solutions; Contribute to workshops and training sessions.
Seniority
Mid-level, hands-on IC
