Job Role
P344-Risk & Deal Stores-Python Developer

Job Description
In our agile operating model, crews are aligned to larger products and services fulfilling client needs and encompass multiple autonomous pods. As a global team located in Switzerland, India, Poland, the UK, and the USA, we support and enhance our Risk Platform which is used for monitoring the investment risk of our clients.

Technical Skills (Must Have)
Python, PySpark

Optional Skills (Valuable To Have)
Java, Agile, Terraform, data science or machine learning

Responsibilities
- Architect, design, develop, and maintain scalable, high‑performance data pipelines using Azure Databricks.
- Demonstrate deep expertise across core Databricks capabilities, including Unity Catalog, SQL Warehouse, Workflows, and Delta Live Tables (DLT).
- Define and implement effective data‑migration strategies for enterprise workloads.
- Integrate Databricks solutions with a wide range of data sources, including cloud storage platforms, databases, external systems, and APIs.




- Design and develop API capabilities to enable secure data access, integration, and downstream consumption by applications and analytics platforms.
- Apply best practices for data governance, security, compliance, and metadata management.
- Optimize Databricks compute resources for performance, scalability, and cost efficiency.
- Collaborate with data scientists and analytics teams, demonstrating a basic understanding of data science concepts such as feature engineering, model inputs/outputs, and data preparation for analytics and machine learning workloads.
- Provide technical leadership, guidance, and mentorship to junior engineers and cross‑functional teams.

Primary Skills
- 08- 10 years of professional experience in data engineering.
- Strong programming skills in Python, PySpark, Scala, Java, and SQL.
- Experience developing and consuming RESTful APIs and building data services for integration use cases.
- Solid understanding of ETL/ELT pipelines, da

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