Data Engineer, Operations Quality Assurance Specialist
1 month ago
10x Genomics is seeking a highly skilled and motivated Data Engineer to join our Quality Assurance team within our Operations division. The ideal candidate will have a strong background in data engineering, a passion for life sciences, and the ability to design, develop, and maintain robust data pipelines to improve quality processes and product quality.
Responsibilities:
- Contribute to the design, development, and maintenance of tools to automate workflows to improve data collection, verification, and upload.
- Collaborate with stakeholders (e.g., customer-facing support teams, centralized data team, finance, logistics, manufacturing engineering, quality, and R&D) to understand data requirements and ensure data is readily available for analysis.
- Identify root causes of data-related issues and partner with stakeholders to ensure minimal disruption to data workflows, and implement and optimize ETL processes to develop and scale data integration and analysis of quality-related data (quality control, nonconformances, manufacturing data) and from various sources.
- Ensure data quality and integrity by implementing data validation, cleansing, monitoring, and alarming processes.
- Document data engineering processes, standards, and best practices to ensure knowledge sharing and maintainability.
- Continuously evaluate and adopt new technologies and tools to improve data engineering processes and efficiency.
Requirements:
- BS/MS in Computer Science, Information Technology, Data Science, or a related field with 3+ years of experience.
- Proficiency in programming languages such as Python.
- Experience with ETL development and proficiency in SQL; experience with transactional and relational databases (e.g., MySQL, Oracle, PostgreSQL).
- Experience with data visualization tools (e.g., Looker, Omni, Tableau).
- Experience with cloud-based data platforms & services (e.g., Snowflake, AWS Services).
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
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