Data Engineer

1 dia atrás

Belo Horizonte, 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.
WHAT YOU WILL DO
- Build consolidated data foundations and dashboards to support workforce analytics;
Develop single sources of truth for business data, ensuring data accuracy and consistency;
Implement and optimize data pipelines, dashboards, and analytics platforms;
Enable advanced analytics and data science use cases, including anomaly detection, recommendation systems, and predictive analytics.
MUST HAVES
-
10+ years of experience in
SQL
( Snowflake /Cloud platform:
AWS
preferred);
10+ years of experience in
Python ;
10+ years of experience in workflow orchestration and building end-to-end data pipelines ( Airflow, GitHub,
etc.);
10+ years of experience in strong data modeling, data warehousing, and
ETL/ELT
frameworks (foundational design for long-term data usage);
10+ years of experience in data monitoring and troubleshooting preferred;
Upper-Intermediate English level.
NICE TO HAVES
- Strong PMO background;
Self-starter with a 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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