Data Engineer

Há 17 horas


Recife, Brasil AgileEngine Tempo inteiro

Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US  If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you ABOUT THE ROLE As a Senior/Lead Data Engineer , you will shape the data foundations that drive advanced analytics and empower millions of people to find jobs worldwide. In this role, you’ll influence large-scale data strategy, work with global teams, and contribute to impactful solutions in a collaborative and innovative culture. With challenging projects, growth opportunities, and a strong engineering community, this is a chance to lead and make a real difference in the data engineering space. MUST HAVES 7+ years experience SQL (Snowflake/Cloud platform: AWS preferred); 7+ years of experience Python; 7+ years of Tableau experience; 7+ years experience in data monitoring and troubleshooting preferred; Upper-intermediate English level. NICE TO HAVES 7+ years workflow orchestration and building end-to-end data pipelines (Airflow, GitHub, etc.); 7+ years of strong data modeling, data warehousing, and ETL/ELT frameworks (foundational design for long-term data usage); Strong PMO background; Self-starter and strong ability to guide/lead self and/or team on projects; Ability to strategize and lead complex data analysis, working with business leaders and cross-functional teams to understand and match their strategic and operational needs; Exceptional ability to distill complex data into clear, concise, and actionable recommendations for both technical and non-technical stakeholders, including senior management (CEO, VP, SVP). PERKS AND BENEFITS Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps. Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities. A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands. Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Requirements 5+ years of experience in SQL (Snowflake/Cloud platform: AWS preferred); 5+ years of experience in Python; 5+ years of experience in workflow orchestration and building end-to-end data pipelines (Airflow, GitHub, etc.); 5+ years of experience in strong data modeling, data warehousing, and ETL/ELT frameworks (foundational design for long-term data usage); 5+ years of experience in data monitoring and troubleshooting preferred; Upper-Intermediate English level.


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