Description

You will build and maintain production-grade data platforms, focusing on lake house architectures and stream processing pipelines.

This role is hybrid.

Responsibilities

• Build lake house architectures utilizing Bronze/Silver/Gold or equivalent medallion patterns.
• Implement stream processing pipelines using Kafka, Flink, Spark Streaming, or Kinesis.
• Develop and maintain data pipelines using orchestration tools.
• Design and implement data models, addressing normalization and denormalization trade-offs.

Required Skills

• 8+ years in data engineering roles.
• 2+ years experience building lake house architectures.
• Expert-level proficiency in AWS services (S3/Blob, RDS/SQL Database, managed Kafka, serverless compute).
• Expert-level SQL skills, including dimensional modeling and SCD2 implementation.
• Proficiency with DBT, Data Form, or custom SQL/Python frameworks.
• Hands-on experience with stream processing technologies (Kafka, Flink, Spark Streaming, Kinesis).
• Strong programming skills in Python or Scala for processing and automation.
• Experience with graph databases.

Key Skills

Education

Any Gradute