Sr Principal, QUADS (Data Pipeline, Data storage)

• Designs and develops data pipelines that extract data from various sources, transform it into the desired format, and load it into the appropriate data storage systems
• Collaborates with data scientists and analysts to optimize models and algorithms for data quality, security, and governance
• Integrates data from different sources, including databases, data warehouses, APIs, and external systems
• Ensures data consistency and integrity during the integration process, performing data validation and cleaning as needed
• Transforms raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques
• Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency
• Monitors and tunes data systems, identifies and resolves performance bottlenecks, and implements caching and indexing strategies to enhance query performance
• Implements data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data
• Establishes and enforces data standards, naming conventions, and data classification frameworks
• Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making

• Master s degree in computer science, data science, software engineering, information systems, or related quantitative field
• 6+ years of professional experience in data management disciplines, including data integration, optimization and data quality, or other areas directly relevant to data responsibilities and tasks
• Ability to collaborate within and across teams of different technical knowledge and work across business lines to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options
• Expert problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve repetitive problems

Proficiency using one or more:

• ETL tools for data integration and workflow automation
• Python, R and relational DB (SQL, NoSQL, etc.), SPSS
• APIs and web scraping tools to gather data from various sources

• Familiar with the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks)

• Data driven and analytical by nature with demonstrable passion for data, analytics and tools.
• Ability to work independently, contribute to the greater team and to handle multiple projects/tasks concurrently in a fast-paced environment, risk identification mitigation
• Ability to translate among the languages used by executive, business, IT, and quant stakeholders.
• Excellent time and task management, attention to detail and problem analysis.
• Excellent verbal and written communications skills.
• Great team player, adding value to the team and process; adapting quickly and easily and displaying genuine commitment