Description

You will lead the architecture and development of scalable big data solutions and pipelines.

Responsibilities

• Design, develop, and optimize big data pipelines at scale.
• Lead a team of engineers and guide development across various products and modules.
• Participate in architectural discussions to propose scalable solutions.
• Troubleshoot live issues and maintain smooth data processing workflows.
• Collaborate with global teams using Agile methodologies.

Required Skills

• 9–11 years of experience in Big Data Engineering.
• Hands-on experience in team leadership.
• Strong proficiency in Spark and SQL.
• Coding expertise in Scala, Java, or PySpark.
• Experience with at least one major cloud platform (AWS, GCG, or Azure).
• Solid understanding of distributed systems, data structures, and design patterns.
• Any Graduate degree.

Preferred Skills

• Experience with Hadoop and Airflow.

Key Skills

Education

Any Graduate