We are seeking a Data Engineer with expertise in building and maintaining robust data pipelines and integrating scalable infrastructure. You will join a small, talented team and play a critical role in designing and optimizing our data systems, ensuring seamless data flow and accessibility.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related technical field
Extensive experience with database systems such as Redshift, Snowflake, or similar cloud-based solutions

Advanced proficiency in SQL and experience with optimizing complex queries for performance
Hands-on experience with building and managing data pipelines using tools such as Apache Airflow, AWS Glue, or similar technologies
Solid understanding of ETL (Extract, Transform, Load) processes and best practices for data integration

Experience with infrastructure automation tools (e.g., Terraform, CloudFormation) for managing data ecosystems
Knowledge of programming languages such as Python, Scala, or Java for pipeline orchestration and data manipulation
Strong analytical and problem-solving skills, with an ability to troubleshoot and resolve data flow issues

Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes) technologies for data infrastructure deployment
Collaborative team player with strong communication skills to work with cross-functional teams