Job Description

• Leadership & Strategy: Lead, mentor, and manage a team of data engineers, fostering their growth and promoting data engineering best practices. Contribute to the development and execution of the overall data strategy, aligning data initiatives with business goals.
   
• Data Infrastructure & Platform Development: Design, build, and manage scalable and robust data pipelines, data warehouses, and data lakes to support data analytics and machine learning initiatives. Evaluate and implement cutting-edge technologies to optimize data processing and storage.
   
• Data Governance & Quality: Establish and enforce data governance policies and procedures to ensure data accuracy, consistency, integrity, and security. Implement data quality monitoring and improvement measures throughout the data lifecycle.
   
• Collaboration & Stakeholder Management: Collaborate closely with various stakeholders across different departments, including Marketing, Product, Sales, Data Analysts, and Data Scientists, to understand their data needs and provide effective data solutions.
   
• Technical Expertise: Maintain a deep understanding of data engineering best practices, tools, and technologies, including ETL processes, big data technologies, relational and NoSQL databases, and cloud-based data platforms.
   
• Problem-solving & Continuous Improvement: Proactively identify and resolve data-related technical issues. Continuously explore and implement new technologies and approaches to enhance data infrastructure efficiency, scalability, and security.

Job Requirement

Must-haves:

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or a related field.
• 6+ years of hands-on experience in data management, including data architecture, data governance, data quality, and data modeling.
• 7+ years of proven experience building and managing BI/OLAP/DWH/DB systems at scale.
• 7+ years of experience working with ETL processes, big data technologies, relational databases, and NoSQL databases.
• Strong programming skills in SQL and Python.
• Experience with cloud providers like GCP, AWS, or Azure.
• Proven experience leading and managing teams.
• Excellent communication, presentation, and stakeholder management skills.

Nice to haves:

• 2+ years of experience working with natural language processing, information retrieval, deep learning, or data mining.
• 5+ years of experience in software development.
• Experience with resource planning and architectural design for high-volume data and high-traffic systems.
• Experience with project management methodologies and tools.
• Strong problem-solving skills with a focus on understanding business needs and crafting innovative solutions.