Senior Machine Learning Data Engineer

About the role:

• Develop and maintain feature-engineering pipelines in Databricks to support ML models effectively.
• Integrate diverse data sources (e.g., clickstreams, user behavior, demographic data) to create user behavior features/profiles for complex ML tasks.
• Design and implement ETL / ELT pipelines aligned with the bronze, silver, and gold layers of the medallion architecture.
• Build data pipelines to support ML model training, calibration, and deployment, leveraging ML flow for experiment tracking and performance monitoring.
• Design low-latency, production-ready data pipelines to support real-time and batch model inference.
• Apply CI/CD principles for seamless pipeline deployment.
• Ensure pipelines comply with security and regulatory standards, particularly for handling PII, and maintain metadata and master data across the data catalogue.
• Work closely with ML scientists, engineers and other stakeholders to align data transformation with business objectives.

About You:

• 7 to 9 years in data engineering and at least 4 plus years focusing on ML feature engineering, ETL pipeline development, and data preparation for ML.
• Proven experience managing pipelines on Databricks using Apache Spark, with a strong understanding of the medallion architecture.
• Familiarity with ML lifecycle management, with ML flow experience as a strong plus and advanced skills in Apache Spark (PySpark) for big data processing and analytics.
• Proficient in Python for data manipulation and SQL for query optimization
• Experience building pipelines for real-time and batch model serving in production environments, and knowledge of CI/CD practices for ETL/ELT pipeline development.
• Expertise in metadata and master data management within technical data catalogues.
• Understanding data security and compliance, especially for sensitive data such as PII.

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• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

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