Diverse Lynx
Data Engineer (Python & Snowflake)
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Job Description
- Req#: 25-59951
- Design, develop, and maintain scalable data pipelines and ETL processes using Snowflake and Python.
- Build and optimize data architectures to support business intelligence, analytics, and machine learning initiatives.
- Collaborate with data analysts, data scientists, and stakeholders to understand data requirements and ensure smooth dataflows.
- Manage and administer Snowflake data warehouses, including schema design, performance tuning, and data security.
- Write efficient, reusable, and maintainable code for data processing and transformation tasks using Python.
- Implement data quality checks and validation processes to maintain data integrity.
- Automate data workflows and improve data reliability and performance.
- Troubleshoot and resolve data-related issues in a timely manner.
- Maintain and document data engineering solutions, best practices, and coding standards.
Position: Data Engineer
Location: Sunnyvale CA & Austin, TX
Job Description: Data Engineer (Snowflake & Python)
Position Overview:
We are seeking a highly skilled and motivated Data Engineer with expertise in Snowflake and Python to join our dynamic team. The ideal candidate will be responsible for building and optimizing data pipelines, managing cloud-based data environments, and supporting data integration efforts. You will play a key role in ensuring that data solutions are scalable, reliable, and aligned with business needs.Key Responsibilities:
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.About the company
We provide Consulting Services for our customer’s project and staffing needs. We also provide Data Management for Clinical Trials.
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