About the Role

In this position, you will lead the design of data architectures, tackle complex challenges, and mentor engineering teams.

Responsibilities

• Lead the design and implementation of scalable and efficient data architectures.
• Develop data pipelines ensuring quality and accessibility.
• Collaborate with stakeholders for impactful solutions.
• Provide mentorship and guidance to engineering teams.
• Optimize system performance for reliability.
• Drive best practices for quality code delivery.
• Conduct code reviews and partake in technical discussions.
• Support client engagements and initiatives.
• Promote knowledge sharing through meetups.
• Monitor emerging technologies and innovate.

Requirements

• Degree in Engineering or Computer Science.
• 7+ years as a Data Engineer.
• 2+ years in leadership roles.
• Experience in full-cycle projects.
• Hands-on coding expertise.
• Proficiency in Python and AWS.
• Skills in Databricks.
• Strong system design abilities.
• Proven technical impact.
• Strong mentorship skills.

Nice to Have

• Proficiency in real-time data processing.
• Knowledge of AI frameworks.
• Familiarity with serverless computing.

We Offer

• International projects with top brands.
• Global teams of skilled peers.
• Healthcare benefits and financial programs.
• Upskilling and certification courses.
• Access to LinkedIn Learning and 22,000+ courses.
• Global career opportunities.
• Volunteer opportunities.
• Recognized culture by Glassdoor and LinkedIn.