Data Engineer (Lead) ID41785

AgileEngine; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A technology company is seeking a Senior / Lead Data Engineer in Recife, Brazil. This role involves shaping data foundations for advanced analytics and leading projects that influence data strategy. Candidates should have a minimum of 7 years of experience in SQL, Python, and Tableau, along with skills in data modeling and ETL processes. The position offers competitive USD-based compensation, professional growth opportunities, and a flexible work schedule.

Serviços

Professional growth opportunities

Competitive USD-based compensation

Exciting project involvement

Flexible work schedule

Qualificações

• 5+ years of experience in SQL with a focus on Snowflake and AWS.
• 5+ years of experience in Python programming.
• 5+ years of experience in workflow orchestration and building data pipelines.

Responsabilidades

• Shape the data foundations that drive advanced analytics.
• Influence large-scale data strategy and collaborate with global teams.
• Lead projects and provide actionable recommendations to stakeholders.

Conhecimentos

SQL (Snowflake / AWS)

Python

Tableau

Data monitoring and troubleshooting

Workflow orchestration

Data modeling

ETL / ELT frameworks

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.