Senior Analyst, Big Data Analytics & Engineering

Partnering with data owners, engineering and platform teams to create robust data pipelines, create Data Products, implement data models.
- Ensure alignment between business goals and technical execution, making sure features and solutions meet business requirements and customer needs.
- Participate in sprint planning, retrospectives, and other agile ceremonies to ensure the team is aligned and delivering efficiently.
- Adoption of best practices in data engineering, automated code reviews, testing, and continuous integration/continuous delivery (CI/CD).
- Optimize the cost/benefit of implementing code a certain way, architecture alignment, ensuring scalability, performance, and operational efficiency.
- Ensuring solutions align with Mastercard’s engineering and data principles, and technical policies.
- Identify opportunities for process improvements, helping to streamline workflows and enhance team productivity.
- Stay abreast of Data Platform technology trends and industry best practices to hone and maintain your talent
- Participate in architectural discussions, iteration planning, and feature sizing meetings
- Adhere to Agile processes and participate actively in agile ceremonies