Senior Databricks Engineer with Python

Project description

We are looking for a Senior Databricks Engineer. The primary focus of this role is built in Python, while also leading the migration to Azure Databricks to improve performance, scalability, and efficiency. This role involves developing, optimizing, and automating reporting processes using PySpark and SQL, ensuring accurate and timely regulatory report generation. This is an exciting opportunity to work on.

Responsibilities

• - Implement high-quality solutions that address business needs and adhere to industry standards - Drive automation of manual processes to the next level - Closely collaborate within an agile team and a global agile organization - Translate high-level business requirements into technical requirements addressing reliability, scalability, and performance needs

SKILLS

Must have

• - Minimum 6+ years of hands-on application development experience using Databricks with Python - Experience with PySpark, Pandas, NumPy, and unit testing - Hands-on experience with SQL Server/ PostgreSQL database - Practical experience with microservice architectures, CI/CD pipelines (preferably with GitLab) - Good to have exposure to cloud native services on Azure Experience in translating high-level business requirements into IT requirements - Excellent communication skills

Nice to have

- Azure Data Services - ETL & Data Processing - Financial Data Processing, experience handling risk, compliance, and regulatory data in an investment banking environment. - Data Modeling, metadata management - Git, GitHub, GitLab - Jenkins - Regulatory compliance knowledge: Basel, MiFID, GDPR - Big Data - Cloud security and access controls (IAM, RBAC) - Familiarity with Docker, Kubernetes, Apache