Senior Data Engineer

Role Overview:

As a Senior Data Engineer, you will play a key role in designing, building, and operating data pipelines and systems that enable both traditional analytics and AI/ML-driven products. You will work hands-on with modern tools and frameworks that form the backbone of the AI data stack.

Key Responsibilities:

• Design, implement, and maintain high-quality data pipelines and ETL/ELT workflows, supporting both batch and streaming use cases.
• Build and maintain scalable data models and schemas to support analytics, AI/ML feature engineering, and knowledge management.
• Develop and maintain secure connectors and data onboarding pipelines for customer-provided data streams.
• Contribute to frameworks for contextualizing data and reconstructing event timelines to support intelligent automation and analytics.
• Collaborate with data scientists, ML engineers, and platform teams to operationalize data for AI/ML use cases.
• Leverage modern data engineering tools (e.g., dbt, Airflow, Kafka, Spark) and experiment with new components from the AI data stack (e.g., feature stores, vector DBs).
• Apply best practices in data quality, governance, and security for multi-tenant, cloud-native environments.
• Contribute to code reviews, technical documentation, and mentorship within the team.