ABOUT OUR COMPANY:
Verticalmove is among the 2023 Inc. 5000 list of the fastest-growing private companies in America! We build digital transformation, product, and software engineering teams
Verticalmove is a respected Digital Transformation and Technical Recruitment services company with more than 20 years of proven results, delivering solutions to Fortune 500 companies and start-up organizations by finding top professional talent before their competitors can.
Overview:
We are seeking a highly skilled and motivated Data Engineer with expertise in Python, SQL, and a strong focus on AI and Machine Learning. The ideal candidate will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring efficient and reliable data pipelines, and contributing to the implementation of advanced analytics and machine learning solutions.
Responsibilities:
Data Pipeline Development:
• Design, develop, and maintain robust and scalable data pipelines using Python and SQL.
• Collaborate with cross-functional teams to understand data requirements and implement efficient data processing solutions.
AI and Machine Learning Integration:
• Work closely with data scientists to implement and deploy machine learning models into production environments.
• Optimize and enhance existing machine learning workflows for improved performance and scalability.
Data Architecture and Modeling:
• Design and implement data models for various business needs, ensuring data integrity and accuracy.
• Contribute to the development of a scalable and flexible data architecture to support current and future business requirements.
Data Quality and Governance:
• Implement data quality checks and ensure data governance standards are met throughout the data lifecycle.
• Collaborate with stakeholders to establish and enforce data quality best practices.
Performance Tuning and Optimization:
• Identify and resolve performance bottlenecks in data processing and storage systems.
• Implement optimizations to improve overall system efficiency and responsiveness.
Qualifications:
• Bachelor's or higher degree in Computer Science, Data Science, or a related field.
• Proven experience as a Data Engineer with expertise in Python, SQL, and data processing technologies.
• Strong understanding of AI and machine learning concepts and practical implementation experience.
• Familiarity with big data technologies (e.g., Spark, Hadoop) is a plus.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud is desirable.
• Excellent problem-solving and communication skills
