Job Responsibilities

• Organizes, updates, and maintains gathered data that will aid in making the data actionable
• Demonstrates basic knowledge of the data system components to determine controls needed to ensure secure data access
• Be responsible for 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 with minimal supervision
• Work with the business stakeholders to understand the business requirements and design appropriate solutions.
• Provide problem-solving expertise and complex analysis of data to understand data issues and provide solutions.
• Adds to team culture of diversity, equity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 2+ years applied experience
• Basic knowledge of the data lifecycle and data management functions
• 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 to perform analysis
• Basic knowledge of data system components to determine controls needed
• Experience in a Big Data technology (Spark Architecture, Performance tuning ,Spark SQL, Streaming, KAFKA, Entitlements etc., )
• Experience in Python/Scala/Java
• Data driven mindset, experience in data analysis and data mining.
• Experience in developing, deploying, and monitoring in building large distributed and parallel systems with devops knowledge.
• Proven experience in implementing a production ready, highly scalable, end to end solution on a big data platform.