Python Data Engineer

About the role:

• Design and implement ETL / ELT pipelines aligned with the bronze, silver, and gold layers of the medallion architecture. Integrate diverse data sources.
• Build data pipelines to support Analytic and meaningful Insight.
  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 Product Managers, Analytic team, Product Engineers and other stakeholders to align data transformation with business objectives.

About You:

• 7 to 9 years in data engineering and strong experience in SQL and Python programming for building Data sets.
• Should have worked in AWS Databrick and familiar with Big Data ecosystem and various AWS services like S3, Delta Lake, Unity Catalogue familiar with GitHub CI/CD tool.
• Good to have AI tool experience like Genie and Claude Code, proven experience managing pipelines on Databricks using Apache Spark, with a strong understanding of the medallion architecture.
• 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.

#LI- Hybrid

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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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