Description

Own the design and implementation of scalable cloud data platforms, with a primary focus on Snowflake.

Responsibilities

• Architect and build data pipelines and transformation frameworks using dbt and SQL best practices.
• Orchestrate batch and near real-time data workflows using Apache Airflow.
• Containerize and deploy data workloads using Kubernetes.
• Migrate legacy on-premises databases, such as Oracle, to cloud data platforms.
• Ensure data quality, performance, and security across all pipelines while collaborating with Data Architects and stakeholders.

Required Skills

• 7+ years of hands-on experience in Data Engineering.
• Extensive production experience with Snowflake.
• Strong expertise in SQL, including complex queries and performance optimization.
• Proficiency in Python for data processing.
• Experience building transformations with dbt.
• Hands-on experience with Apache Airflow for workflow orchestration.
• Working knowledge of Kubernetes and containerized deployments.
• Solid understanding of data modeling and data warehousing concepts.

Preferred Skills

• Experience in the financial services domain (banking, capital markets, or risk).
• Familiarity with AI-based agents and tooling for development efficiency.

Key Skills

Education

Bachelor’s degree