Key Responsibilities:

Design, develop, and maintain scalable and reliable data pipelines in the cloud
Collaborate with data scientists and analysts to understand data requirements and design appropriate solutions
Implement data governance and security measures to ensure data integrity and compliance
Monitor and troubleshoot data pipelines to ensure data accuracy, completeness, and availability
Continuously evaluate and implement new technologies and tools to optimize data processing and storage
Mentor junior team members and provide technical guidance and support
Participate in code reviews and contribute to the development of best practices and standards

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Minimum of 5 years of experience in data engineering, with at least 3 years in a cloud-based environment
Strong understanding of data architecture principles and best practices
Expertise in designing and building data pipelines using cloud-based tools such as AWS, Azure, or Google Cloud Platform
Proficiency in SQL and experience working with relational and NoSQL databases
Hands-on experience with programming languages such as Python, Java, or Scala
Experience with data warehousing, data lakes, and data governance frameworks
Excellent problem-solving and analytical skills
Ability to work independently and collaboratively in a fast-paced and dynamic environment
Strong communication and interpersonal skills

Join our team and play a key role in shaping the future of our data infrastructure.

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