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.