Description

You will expand and optimize cloud-based data pipeline architecture to support cross-functional teams.

Responsibilities

• Build and optimize scalable, high-quality data-oriented products and ETL pipelines.
• Collaborate with Engineering, Analytics, and Product teams to support data-driven use cases.
• Design and implement efficient, large-scale data pipelines using distributed technologies.
• Solve complex end-to-end data problems through effective architecture and modeling.

Required Skills

• 5+ years of experience in data processing and software engineering.
• Proficiency in Python, Scala, or Java.
• Strong experience with SQL and query optimization.
• Hands-on experience with Hadoop and Kafka.
• Deep understanding of data architecture, modeling, and infrastructure.
• Bachelor's degree in Computer Science.

Preferred Skills

• Experience building scalable applications on Amazon AWS or Google Cloud.
• Experience building stream-processing applications using Spark streaming or Apache Flink.

Key Skills

Education

Bachelor's degree in Computer Science