Data Engineering Specialist (Snowflake)
Core
Building and maintaining data infrastructure for Data AI platforms, including data pipelines, ETL processes, and data governance.
Role type
Director-level Data Engineering Specialist
Builds
Data pipelines, ETL processes, and data infrastructure for AI platforms
Domain
Financial services / Data Engineering
Deliverable
production ML models
Required skills
Snowflake, Databricks, Python, Apache Spark, SQL, NoSQL, AWS, Azure, Kafka, Git, Jupyter notebooks
Preferred skills
Snowflake Cortex, data modeling, data architecture, data warehousing
Technologies
Snowflake, Databricks, Python, Apache Spark, Kafka, AWS, Azure, Git, Jupyter
Responsibilities
Develop and maintain data pipelines and ETL processes; Optimize data systems for performance and scalability; Implement data quality and governance standards; Collaborate with stakeholders to translate data needs into technical solutions; Contribute to technical documentation and knowledge sharing; Participate in code reviews and improve development processes.
Seniority
Director, hands-on IC