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Data Engineer

• Design necessary data models and transformations to curate raw data.
• Develop, optimize and maintain existing data models, pipelines, and transformations to support analytics, reporting, and AI use cases.
• Architect and contribute in implementing a scalable, modern data platform, including data lakehouse or warehouse.
• Optimize ETL/ELT pipelines using tools like DBT, Spark, or Airflow.
• Evaluate and integrate new technologies to support hybrid monolith-microservices architecture and ML and AI enablement.
• Build and optimize real-time data pipelines using Kafka, Spark, and Delta Live Tables.
• Support the team lead in establishing and enforcing data governance frameworks.
• Collaborate with the team to integrate AI/ML capabilities to accelerate data products for market penetration and operational efficiency.
• Mentor the team on best practices, modern tools (e.g., Databricks, Snowflake), and cloud-native scalability.
• Collaborate with Product Analytics, domain teams, and business to deliver data solutions that drive value.

Senior Data Engineer – Modern Data Platform, AI