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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain scalable data pipelines and entity-centric data models to support merchant identity resolution and data integration.
Collaborate closely with Data Science teams to deploy and scale AI/ML model features into reliable production systems.
Implement testing frameworks, monitoring, and optimize ETL/ELT processes to ensure high-quality, efficient, and compliant data workflows at petabyte scale.
Minimum Requirements
Experience working with big data platforms such as Databricks, Apache Spark, and distributed compute frameworks.
Proficiency in Python and SQL for writing clean, maintainable code.
Bachelor’s degree in Computer Science, Data Analytics, Mathematics, Software Engineering, or related field or equivalent practical experience.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Strong independent problem-solving and research skills with ability to self-learn and innovate in data engineering.
Experience collaborating across data science, engineering, and governance teams in cloud environments like Databricks, AWS, or GCP.
Knowledge of entity-centric data systems and end-to-end ML model development and deployment workflows.