About the Role
We’re partnering with a leading global commerce technology organization to expand their Data Engineering & Analytics team. This is an exciting opportunity for senior-level Data Engineers who are passionate about building modern data solutions, optimizing data pipelines, and driving impactful data-driven decisions within a global enterprise environment.
Key Responsibilities
- Design, develop, and maintain data management systems, pipelines, and quality assurance frameworks.
- Establish and enforce data standards, database guidelines, and governance protocols.
- Develop and implement conceptual and logical database designs, including capacity planning, data loading, and maintenance strategies.
- Evaluate, install, and optimize database management systems and cloud data platforms.
- Collaborate with cross-functional teams to translate business requirements into scalable data models and efficient pipelines.
- Contribute to data modeling and relational database architecture, ensuring data integrity and accessibility.
- Support the development of UI prototypes and reporting tools in collaboration with analytics and business stakeholders.
Requirements
Strong proficiency in Python, SQL, and Spark for data processing and ETL development.Hands-on experience building and maintaining data pipelines in modern cloud environments.Proven data modeling expertise and familiarity with relational and dimensional models.Experience with modern data platforms such as Databricks, Snowflake, or similar.Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.