Job responsibilities
- Supports review of controls to ensure sufficient protection of enterprise data
- Responsible for advising and making custom configuration changes in one to two tools to generate a product at the business or customer request
- Updates logical or physical data models based on new use cases
- Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
- Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification in Data Analytics concepts and applied experience
- Experience across the data lifecycle
- Advanced at SQL (e.g., joins and aggregations)
- Working understanding of NoSQL databases
- Significant experience with statistical data analysis and ability to determine appropriate tools and data patterns to perform analysis
- Experience customizing changes in a tool to generate product
- Hands-on experience in Data Engineering tools such as Databricks and AWS including APIs development
- Hands- on Knowledge of Kafka streaming, Performance tuning- SQL/Oracle
- Experience customizing changes in a tool to generate product
- Experience in analysis new datasets and data domains for ingestion into applications, ETL tooling and data discrepancies