Job description: Key skills required for the role: Data science, ML , EDA and feature engineering.
Experience of having ideated, developed and deployed to production end to end data science use cases Design and architect scalable, secure, and high -performance data solutions primarily using the Snowflake platform.
Leverage OpenFlow experience to optimise data workflows and integrations.
Develop and maintain ETL/ELT pipelines for data ingestion from various sources, including Salesforce, relation, files and NoSQL databases.
Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions.
Implement dimensional modeling techniques to support data warehousing and business intelligence needs.
Build and optimize data pipelines across cloud environments (Azure and AWS) ensuring efficient data movement and transformation.
Ensure data quality, governance, and security best practices are adhered to across the data architecture.
Support analytics and reporting teams by enabling data access and integration with Power BI and Tableau dashboards.
Stay current with emerging data technologies and recommend improvements to existing data architecture.