Data Engineer (Lead) ID41785

AgileEngine; São Paulo; Híbrido; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading software company in São Paulo is seeking a Senior / Lead Data Engineer. You will shape the data foundations for advanced analytics, influence data strategy, and lead impactful projects. The ideal candidate has over 7 years of experience in SQL, Python, and data visualization with Tableau. Join us for competitive compensation, professional growth opportunities, and flexible work arrangements.

Serviços

Professional growth opportunities

Competitive compensation

Exciting projects with top-tier clients

Flextime for work-life balance

Qualificações

• 7+ years of experience in SQL (Snowflake / AWS preferred).
• 7+ years of experience in Python.
• 7+ years of experience in Tableau.
• 7+ years of experience in data monitoring and troubleshooting preferred.
• Upper-intermediate English level required.

Responsabilidades

• Shape data foundations driving advanced analytics.
• Influence large-scale data strategy.
• Collaborate with global teams for impactful solutions.

Conhecimentos

SQL (Snowflake / AWS)

Python

Tableau

Data monitoring and troubleshooting

Upper-intermediate English

Ferramentas

Airflow

GitHub

Descrição da oferta de emprego

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.