Description

You will build and manage high-scale data pipelines and management tools to support business decision-making.

This role is on-site.

Responsibilities

• Deploy data management tools to curate datasets, models, and processes while automating workflows.
• Engineer streaming data processing pipelines to ensure low latency and high throughput.
• Drive the adoption of AWS and Azure for data processing and warehousing.
• Design data models by engaging directly with data producers and consumers.
• Evaluate and acquire new internal and external datasets.

Required Skills

• 11+ years of relevant work experience in a team-focused environment.
• Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline.
• Proficiency in multiple programming languages including Python, Java, C, or C#.
• Deep understanding of data curation, quality, traceability, security, and performance latency.
• In-depth knowledge of relational and columnar SQL databases and database design.
• Strong understanding of data structures and algorithms.
• Knowledge of business processes, data flows, and quantitative models.

Key Skills

Education

Bachelor's degree