Senior Data Engineer

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