1. Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
2. Identify, design, and implement internal process improvements that meet business requirements and re-design infrastructure for greater scalability
3. Build, re-design, and optimize data delivery infrastructure required for optimal ETL, pipelines, and orchestration from wide variety of data sources
4. Build analytics tools using a modern data technology stack and cloud-native technologies to provide actionable insights into a variety of key business performance metrics
1. Database systems like SQL and NoSQL
2. ETL tools, Data warehousing solutions, and Data APIs
3. Python, Java, and Scala programming languages
4. Familiarity with AI and ML concepts and technologies
5. Understanding of distributed systems
6. Knowledge of algorithms and data structures