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Data Engineer

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

Brazil

Offer summary

Qualifications:

Fluent in English, 5+ years of experience in Data Engineering, Strong skills in data modeling and ETL processes, Proficient in Python, SQL, and/or R.

Key responsabilities:

Design and optimize data pipelines and data warehouses
Translate complex data into actionable insights

Oowlish Scaleup https://www.oowlish.com

51 - 200 Employees

See more Oowlish offers

Job description

Join Our Team

Oowlish, one of Latin America's rapidly expanding software development companies, is seeking experienced technology professionals to enhance our diverse and vibrant team.

As a valued member of Oowlish, you will collaborate with premier clients from the United States and Europe, contributing to pioneering digital solutions. Our commitment to creating a nurturing work environment is recognized by our certification as a Great Place to Work, where you will have opportunities for professional development, growth, and a chance to make a significant international impact.

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your personal and professional needs. We're looking for candidates who are passionate about technology, proficient in English, and excited to engage in remote collaboration for a worldwide presence.

We are looking for an experienced Data Engineer to join our team and work on international projects. We are looking for people that want to grow, are challenge-driven, follow good practices, and are passionate about technology.

Must Haves:

Fluent in English

5+ years of experience in Data Engineering: Demonstrated experience in designing, implementing, and optimizing data pipelines, ETL processes, and data warehouses. Strong skills in data modeling, database management, and query optimization are essential.

Business Intelligence (BI) Knowledge: understanding of BI tools and techniques, including data visualization, dashboard creation, and report generation. Ability to translate complex data into actionable insights for stakeholders across various levels of the organization.

Familiarity with applying data analytics and engineering techniques to support marketing strategies and campaigns. Experience with customer segmentation, predictive modeling, and campaign performance analysis is highly desirable.

Proficient in programming languages such as Python, SQL, and/or R. Experience with relevant frameworks and technologies (e.g., Apache Spark, Hadoop, Tableau, Power BI) is advantageous.

Benefits & Perks:

Home office;

Flexible Hours

Competitive compensation based on experience;

Career plans to allow for extensive growth in the company;

International Projects;

Oowlish English Program (Technical and Conversational);

Oowlish Fitness with Total Pass;

Connecting You (Internet allowance);

Anniversary bonus;

Wedding gift;

Pet adoption incentive;