Job Description What you’ll do • Develop and maintain high-performance, scalable, and fault-tolerant data processing systems using Spark, Flink, Druid, or the like. • Collaborate with cross-functional teams to integrate data from multiple sources and ensure data accuracy and consistency. • Write complex SQL queries to support data analysis and reporting. • Develop and maintain data models and ETL processes. • Optimize data pipelines and system performance to ensure efficient data processing and analysis. • Build and maintain data infrastructure, including data storage and data access systems. • Stay up-to-date with the latest developments in data engineering technologies and best practices. What you’ll need: • Bachelor's degree in Computer Science, Engineering, or a related field • 5+ years of experience in Data Engineering • Expertise in Spark and Python • Experience with Scala is a bonus • Experience with Databricks is a bonus • Strong understanding of distributed systems, data modeling, and ETL processes • Hands-on experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Snowflake, Teradata) • Excellent problem-solving skills and attention to detail • Strong written and verbal communication skills • Ability to work independently and as part of a team
