Senior Specialist - Data Sciences

About the role

Support production data pipelines through monitoring troubleshooting incident resolution and continuous improvement Implement data engineering standards CICD practices automated deployment processes unit testing and code quality expectations Partner with BI Product Engineering and clientfacing teams to translate business and reporting requirements into scalable data solutions

What you'll do

• Design build maintain and optimize data pipelines using Python SQL PySpark Databricks and AWSbased data services
• Develop ETLELT processes that support data warehousing analytics reporting and business intelligence use cases
• Build and optimize Spark jobs with a focus on performance scalability reliability and efficient resource utilization
• Design and implement data models for structured semistructured and NoSQL data where applicable
• Implement CICD practices automated deployments unit tests and code quality standards for data engineering workflows

What you need

• 7–11 yrs of experience
• Python
• Machine learning
• ETL
• AWS
• Databricks
• Prompt engineering
• Any graduate

Good to have

• SQL
• Spark
• Data warehousing
• Data modelling
• CI/CD
• Unit testing