Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure.
• Collaborate with cross-functional teams to understand data requirements and provide support for analytics initiatives.
• Ensure data quality and integrity by implementing best practices in data management.
• Optimize data storage and retrieval processes to enhance system performance.
• Monitor and troubleshoot data processing workflows to ensure timely delivery of data insights.
• Utilize advanced data modeling techniques to support reporting and analytics.
• Stay updated with industry trends and technologies to continuously improve data engineering processes.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience in data engineering or a similar role, preferably within the commerce sector.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions and ETL tools.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of SQL and NoSQL databases.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills, both verbal and written.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible work arrangements.
• Professional development opportunities and support for continuous learning.
• Dynamic work environment with a focus on teamwork and innovation.
• Access to cutting-edge technology and tools.