A leading global financial services firm is seeking a Principal Data Engineer. The role involves designing and optimizing data pipelines, leading a team of engineers, and collaborating with stakeholders. Candidates should possess extensive experience in data engineering, particularly with Snowflake and AWS. Additionally, strong SQL skills and the ability to communicate complex technical concepts are essential. This position offers a comprehensive range of benefits and compensation between $115,000 and $225,000 per year.
Qualifications
10+ years of data engineering, data science, or software engineering experience.
3+ years of experience with Snowflake.
4+ years of experience in AWS cloud stack including S3, IAM, and EMR.
Responsibilities
Design and implement data pipelines optimized for machine learning.
Build scalable, cloud-native architectures leveraging Data Mesh and Lakehouse.
Collaborate with stakeholders to align solutions with strategic objectives.
Skills
Data Engineering
SQL query optimization
Machine learning
Cloud technologies (AWS)
Agile methodologies
Data modeling
Education
Bachelor's in Computer Science, Mathematics, or Engineering
Tools
Snowflake
SQL Server
Job description
A leading global financial services firm is seeking a Principal Data Engineer. The role involves designing and optimizing data pipelines, leading a team of engineers, and collaborating with stakeholders. Candidates should possess extensive experience in data engineering, particularly with Snowflake and AWS. Additionally, strong SQL skills and the ability to communicate complex technical concepts are essential. This position offers a comprehensive range of benefits and compensation between $115,000 and $225,000 per year.