- Leading the development of complex data pipelines independently and improving key delivery metrics through innovation and optimization
- Experience in Requirement Gathering, Estimating, Managing large scale Data Engineering Projects.
- Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions.
- Data Modeling: Work with the Business team to implement data strategies, build data flows and develop conceptual data models.
- Data Pipeline Design: Create robust and scalable data pipelines and data products in a variety of domains.
- Data Integration: Develop and maintain data lakes by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across data sets.
- Testing: Define and manage the data load procedures to reject or discard datasets or data points that do not meet the defined business rules and quality thresholds.
- Deployment: Implement data strategies and develop physical data models, along with the development teams, data analyst teams and information system team to ensure robust operational data management systems.
- Understanding of and ability to Implement Data Engineering principles and best practices.
- Coordinate with other teams to manage and prioritize projects. Drive strategy, roadmap, and execution of key data engineering initiatives.
- Stakeholder Management: Collaborate with stakeholders across the organization to understand their data needs and deliver solutions.
- Continuous Integration and Continuous Deployment (CI/CD): Implement and maintain CI/CD pipelines for data solutions, ensuring rapid, reliable, and streamlined updates to the data environment.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.