Responsibilities

• Design and implement scalable data architectures to support our growing platform.
• Collaborate with product and engineering teams to gather requirements and deliver effective data solutions.
• Optimize data pipelines and workflows to enhance performance and efficiency.
• Ensure data integrity and security across all processes.
• Develop and maintain documentation for data models and architectures.
• Monitor and troubleshoot data-related issues to ensure high availability and reliability.
• Stay current with industry trends and technologies to continuously improve our data platform.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering or a related role.
• Strong proficiency in SQL and experience with big data technologies such as Hadoop or Spark.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of programming languages such as Python, Java, or Scala.
• Familiarity with data warehousing solutions and ETL processes.
• Excellent problem-solving skills and a proactive approach to challenges.
• Ability to work collaboratively in a remote team environment.

Benefits

• Competitive salary and performance bonuses.
• Flexible work schedule and remote work options.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday policies.
• Retirement savings plan with company matching.
• Professional development opportunities and access to training resources.
• Dynamic and inclusive work culture that values innovation and teamwork.