Data Engineer

Growe welcomes those who are excited to: Design, develop, and maintain scalable and reliable data pipelines using Airflow; Design and optimize Athena tables and queries, ensuring efficient performance and cost-effectiveness; Develop and maintain data transformations in dbt, building reusable, testable, and well-documented data models; Optimize data workflows for performance, reliability, and cost-efficiency; Automate infrastructure provisioning and configuration using Terraform; Ensure data quality, integrity, and consistency through monitoring, validation, testing, and error handling; Collaborate with Analytics, BI, and Engineering teams to understand data requirements and deliver effective data solutions; Troubleshoot and resolve data pipeline and data quality issues in a timely manner. We need your professional experience: 3+ years of experience in Data Engineering, with hands-on experience building and maintaining ELT pipelines; Strong Python and SQL skills, including data modeling, query optimization, and performance tuning; Hands-on experience with Airflow for workflow orchestration and DAG development; Practical experience with dbt for data transformation, testing, and modular data modeling; Hands-on experience with AWS S3 and Athena, and a solid understanding of data lake architectures; Experience with Terraform for infrastructure provisioning and automation. We appreciate if you have those personal features: Strong analytical and problem-solving skills with attention to detail; Ability to work independently while collaborating effectively within a team; Proactive mindset and willingness to continuously learn and improve. We are seeking those who align with our core values: GROWE TOGETHER: Our team is our main asset. We work together and support each other to achieve our common goals; DRIVE RESULT OVER PROCESS: We set ambitious, clear, measurable goals in line with our strategy and driving Growe to success; BE READY FOR CHANGE: We see challenges as opportunities to grow and evolve. We adapt today to win tomorrow.