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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 of 4+ years of experience developing enterprise Databricks applications.
Hands-on experience with Databricks ETL/data-loading mechanisms using Databricks Jobs, including relevant performance tuning and optimisation.
Ability to independently understand business requirements and translate them into efficient, high-performing Databricks implementations.
Data modelling experience would be an added advantage.
Experience with Databricks deployments using Databricks Asset Bundles (DAB) would be an added advantage.
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