Data Engineering Manager at Oxygen X

The position

We are seeking an experienced Data Engineering Manager to lead our data engineering team in building and optimizing scalable data infrastructure. This role requires deep expertise in AWS services, data pipelines, cost management, and modern data engineering tools. You will play a key role in ensuring efficient data processing, storage, and governance.

Responsibilities

• Lead and mentor a team of data engineers, driving best practices in data architecture and engineering.
• Design, build, and optimize scalable data pipelines using AWS
• Implement cost-effective and efficient AWS data infrastructure, leveraging best practices for cost management and performance optimization.
• Oversee data storage, processing, and security across databases like Postgres, Oracle, and SQL.
• Collaborate with data analysts, data scientists, and business teams to understand data needs and develop highly available, reliable, and scalable data solutions.
• Ensure data quality, integrity, and governance, implementing robust monitoring and validation mechanisms.
• Stay updated on emerging data engineering trends, recommending new technologies to improve efficiency and scalability.

Requirements

• Bachelor's or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• 5+ years of experience in data engineering, with at least 2 years in a leadership role.
• Expertise in AWS data services
• Strong knowledge of cost optimization strategies for AWS-based data pipelines and storage.
• Proficiency in SQL, Python, and Scala, with strong ETL and data modeling experience.
• Hands-on experience with Databricks, NoSQL and SQL databases.
• Excellent leadership, communication, and stakeholder management skills.
• Experience in fintech or digital lending is a plus.