Remote Data Engineer

Summary

Tiger Analytics is seeking a dynamic Data Engineer with 5+ years of experience to design and implement data solutions for complex business problems. The role involves creating scalable data pipelines using Scala, DBT, and SQL, optimizing distributed data processing, building and deploying machine learning models, collaborating with data scientists, ensuring data quality, and improving workflows for performance and scalability.

Requirements

• 5+ years of experience in data engineering and machine learning
• Proficiency in Scala programming language for building data pipelines and ML models
• Hands-on experience with DBT (Data Build Tool) for data transformation and modeling
• Strong SQL skills for data querying and manipulation
• Experience with MPP (Massively Parallel Processing) databases and distributed processing technologies
• Familiarity with distributed processing frameworks such as Spark, Glue, and Iceberg
• Ability to work independently and collaboratively in a team environment

Responsibilities

• Design, develop, and maintain scalable data pipelines using Scala, DBT, and SQL
• Implement and optimize distributed data processing solutions using MPP databases and technologies
• Build and deploy machine learning models using distributed processing frameworks such as Spark, Glue, and Iceberg
• Collaborate with data scientists and analysts to operationalize ML models and integrate them into production systems
• Ensure data quality, reliability, and integrity throughout the data lifecycle
• Continuously optimize and improve data processing and ML workflows for performance and scalability