Description

You will lead the design and implementation of scalable data pipelines, Lakehouse architectures, and warehousing solutions while mentoring a team of data engineers.

This role is on-site.

Responsibilities

• Lead technical vision, code reviews, and architectural decisions for data engineering projects.
• Mentor and guide a team of data engineers through technical challenges and delivery.
• Design and implement robust data Lakehouse and data warehousing solutions.
• Drive the adoption of new technologies to enable data-driven decision-making.
• Ensure delivery of scalable, reliable data solutions adhering to best practices.

Required Skills

• 8+ years of experience in data engineering or related technical roles.
• Expert-level proficiency in Python for data processing and engineering.
• Hands-on experience with Apache Spark for large-scale data processing.
• Proficiency with Apache Airflow for workflow orchestration.
• Proven ability to design and implement data Lakehouse and data warehousing architectures.
• Experience leading technical teams and managing architectural workflows.
• Any Graduate degree.

Key Skills

Education

Any Graduate