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.
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.
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.
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.
