Data Engineer

• 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. 

• Health & Wellness Focus;

• Global Medical Coverage;

• Growth Opportunities;

• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);

• Performance-Driven Rewards;

• Dynamic Work Environment.

Apply, and let your growth journey begin.