Data Engineer ID43407

AgileEngine; Curitiba; Híbrido; BRL 645 855 - 861 140; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Professional growth

Competitive compensation

Flextime

Exciting projects

Resumo da oferta

A technology services company in Brazil is seeking a Senior Data Engineer to develop secure data pipelines and drive innovation in cloud-based data infrastructure. The ideal candidate has over 5 years of experience, strong skills in Python, DBT, and SQL, and excellent communication abilities. This full-time role offers competitive USD-based compensation, flexible working options, and exciting projects with top-tier clients.

Qualificações

• 5+ years of experience working as a Data Engineer.
• Experience using REST API for integration and data ingestion.
• Comprehensive documentation skills.

Responsabilidades

• Develop and maintain secure and efficient data pipelines.
• Build infrastructure for optimal ETL of data.
• Identify and implement internal process improvements.
• Monitor data pipelines for availability.
• Create and maintain intuitive data models.

Conhecimentos

Python for object-oriented programming

DBT for data transformations

Strong SQL experience

Experience with Snowflake

Real-time data processing

Advanced English communication

Ferramentas

Airflow

Google BigQuery

AWS technologies

DBT

Descrição da oferta de emprego

About the Role

As a Senior Data Engineer, you’ll play a key role in shaping high-impact data solutions that power smarter decision-making and support a global mission to connect people with meaningful work. You’ll collaborate with diverse teams to build secure, scalable pipelines and drive innovation in cloud-based data infrastructure. This is a chance to grow technically, influence product evolution, and thrive in an open, collaborative culture that values learning and excellence.

What You Will Do

• Develop and maintain secure and efficient data pipelines using DBT, PySpark, and Python in an Indeed-supported cloud environment, integrating all HR data sources to enable analytics and insights for HR COEs and HR leadership.
• Build the infrastructure and tooling required for optimal extraction, transformation, and loading (ETL) of data from various sources using Python, DBT, Terraform, and AWS technologies such as Glue, EMR, and S3.
• Identify, design, and implement internal process improvements, including automating manual workflows, debugging and optimizing data delivery, and re-architecting infrastructure for enhanced scalability.
• Apply the Data Quality Framework in the HRDM repository by developing unit tests, and creating both manual and automated test cases.
• Monitor data pipelines to ensure a minimum of 99.5% data availability.
• Create and maintain data models that are intuitive and easily consumable by business partners.
• Write and update project documentation (most data ingestion scripts are written in Python).

Must Haves

• 5+ years of experience working as a Data Engineer.
• Python for object-oriented programming and data scripting.
• Experience with Snowflake.
• Strong SQL experience.
• Experience using DBT for data transformations.
• Experience with Airflow.
• Experience with REST API for integration and data ingestion.
• Experience with Google BigQuery.
• Handling large-scale and sensitive data securely.
• Real-time data processing (e.g., from Google Sheets or APIs).
• Comprehensive documentation skills.
• Advanced English communication.

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.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Information Technology

Industries

IT Services and IT Consulting