onsite
Senior Data Manager
Software Engineer
Lead end‑to‑end data initiatives, designing AI‑driven pipelines, visualizing insights, and managing cloud‑based architecture in an Agile environment.
About the role
Key Responsibilities
- Architect and maintain scalable data pipelines that ingest, transform, and store large volumes of structured and unstructured data.
- Develop and deploy machine learning models to extract actionable insights and support business decision‑making.
- Collaborate with cross‑functional teams using Agile practices to prioritize features, deliver increments, and iterate on data products.
- Design and implement cloud‑native solutions (e.g., AWS, Azure, GCP) ensuring high availability, security, and cost efficiency.
- Create interactive dashboards and visualizations that communicate complex data findings to stakeholders.
Requirements
- 5+ years of experience in data engineering, data science, or related roles.
- Proficiency with Python, SQL, and data orchestration tools (Airflow, Prefect).
- Hands‑on experience with cloud services (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Strong knowledge of machine learning frameworks (scikit‑learn, TensorFlow, PyTorch).
- Excellent communication skills and a proven track record of delivering data solutions in an Agile environment.
Skills
machine learningagile