Description

You will build and maintain high-volume data infrastructure and ETL pipelines, transforming unstructured data into clean, usable datasets.

Responsibilities

• Build and manage ETL processes and job orchestration tooling.
• Design data models and optimize SQL queries for system performance.
• Tune system performance to handle high-volume data workloads.
• Work independently to implement modern data platform tech stacks.

Required Skills

• 5+ years of experience with high-volume data infrastructure.
• Proficiency in Python or Java.
• Strong expertise in SQL and database management.
• Hands-on experience with Apache Spark and Spark Streaming.
• Experience with AWS services including EMR and Kinesis/Kafka.
• Experience with Databricks and ETL orchestration.
• BS in Computer Science, Software Engineering, Mathematics, or equivalent experience.

Key Skills

Education

BS in Computer Science, Software Engineering,