Description

You will design, implement, and maintain data pipelines and systems for efficient processing.

Responsibilities

• Build and implement scalable data storage systems using relational and NoSQL databases.
• Develop data schemas, ETL processes, and performance tuning methods including partitioning, indexing, and caching.
• Identify and resolve data-related bottlenecks and performance issues to ensure data correctness and dependability.
• Maintain data pipelines to optimize processing speeds and system reliability.
• Travel to various unanticipated locations throughout the U.S. as required.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python, Java, or Scala.
• Experience with MySQL and PostgreSQL.
• Experience with NoSQL databases including MongoDB and Cassandra.
• Hands-on experience with Apache Hadoop and Spark.
• Experience using Kafka for data streaming.
• Bachelor's degree in Business Analytics, Computer Science, or Engineering.

Key Skills

Education

Any Graduate