Gpu Architecture Engineer
2 weeks ago
• Implement and maintain data pipelines, ETL processes, and data integration patterns.
• Design and build data warehouses and data marts to support analytical reporting and business intelligence.
• Manage and optimize database systems (e.g., PostgreSQL, MySQL, Redshift).
• Implement data quality checks and validation processes to ensure data accuracy and consistency.
• Optimize data storage, retrieval, and processing to improve query performance and reduce costs.
• Work closely with cross-functional teams to understand data needs and deliver effective solutions.
• Stay updated on industry trends and emerging technologies to drive continuous improvement in data engineering practices.
The Successful Applicant
• Minimum of 5 years of experience in data engineering, with a strong focus on AWS or open-source technologies.
• Bachelor's degree in computer science, data engineering, or a related field.
• Proven expertise in designing and implementing scalable data infrastructure solutions.
• Strong proficiency in SQL and database management systems (e.g., PostgreSQL, MySQL, Redshift).
• Experience with data warehousing and data mart concepts.
• Knowledge of data integration patterns and ETL processes.
• Familiarity with data quality best practices.
Desired Candidate Profile
• Database Design and Management: Proficiency in relational and non-relational databases.
• Data Modeling: Experience with conceptual, logical, and physical data models, including ER diagrams.
• ETL Processes: Knowledge of Extract, Transform, Load (ETL) processes and tools.
• Big Data Technologies: Familiarity with big data frameworks and tools.
• Cloud Platforms: Experience with cloud data services (e.g., AWS, Azure, Google Cloud).
• Data Governance: Understanding data quality, metadata management, and compliance standards.
• Programming Skills: Proficiency in programming languages (e.g., Python, Java, SQL).
• Data Warehousing: Knowledge of data warehousing concepts and technologies.
• Business Intelligence Tools: Familiarity with BI tools for data visualization.
• Communication Skills: Ability to communicate complex data concepts to non-technical stakeholders.
• Problem-Solving Skills: Strong analytical skills to address data-related challenges.
• Collaboration: Experience working with cross-functional teams, including data scientists and engineers.
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