We are looking for a Data Engineer with 3+ years of commercial experience to help build and scale a modern data platform. In this role, you will work on developing and maintaining data pipelines, creating data models, and ensuring data quality and reliability.
Requirements: * 3+ years of experience in data engineering or backend development. * Experience with Java development * Strong knowledge of SQL and database technologies. * Hands-on experience with ETL/ELT processes and data modeling. * Understanding of modern data architectures (data lakes, data warehouses). * Experience with cloud platforms (AWS, GCP, or Azure) is a plus. * Experience with big data technologies (e.g., Spark, Kafka, Hadoop) is a plus. * Experience integrating AI/analytics solutions into data workflows is a plus. * Understanding of software engineering best practices, including testing, CI/CD, and version control. * Strong problem-solving and communication skills. * Ability to collaborate effectively in a distributed team environment. * Availability for 1–2 hours of overlap with U.S. Central Time business hours (9:00 AM — 5:00 PM CT). * Experience working in an Agile environment.
Key Responsibilities * Build and maintain scalable ETL/ELT pipelines and data architectures. * Develop and optimize data models for analytics and reporting needs. * Integrate data processing and analytics solutions to improve data workflows. * Translate business and technical requirements into reliable data solutions. * Implement data quality checks and monitor pipeline performance. * Troubleshoot data issues and improve reliability and scalability. * Participate in code reviews and follow data engineering best practices. * Work with cloud services and data processing tools to optimize performance and costs
