Description

You will design and implement full-scale data warehouse solutions. You will own the architectural design and execution of large-scale data processing pipelines, translating ambiguous requirements into robust technical architectures.

Responsibilities

• Architect data warehouse solutions from the ground up.
• Design and implement large-scale data processing pipelines.
• Translate unclear requirements into technical architectures.
• Solve complex data engineering problems through effective technical design.

Required Skills

• 10+ years of experience designing and implementing full-scale data warehouse solutions.
• 5+ years of experience developing with Spark and Scala.
• Proficiency in Python and PySpark.
• Experience with Big Data databases such as HBase.
• Strong problem-solving and architectural skills.
• Excellent oral and written communication skills.

Preferred Skills

• Experience with AWS.

Key Skills

Education

Any Graduate