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Senior Data Engineer

TELUS Digital Brazil

São Paulo

Teletrabalho

BRL 60.000 - 120.000

Tempo integral

Há 4 dias
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Resumo da oferta

Join a forward-thinking company as a Senior Data Engineer, where you'll design and implement robust data pipelines that drive impactful decision-making. This role offers the opportunity to work with cutting-edge technologies in a collaborative environment, mentoring junior engineers, and enhancing data quality across various projects. With a focus on innovation and a commitment to professional growth, you'll be part of a dynamic team that values work-life harmony and offers flexible working arrangements. If you're passionate about data engineering and eager to make a difference, this is the perfect opportunity for you.

Serviços

Health and dental plan
Life insurance
Monthly voucher for meals
Child care assistance
Flexible working hours
International travel opportunities
Career development path

Qualificações

  • 3+ years of experience as a Data Engineer with robust data pipeline skills.
  • Hands-on experience in SQL and data modeling projects.
  • Ability to mentor junior engineers and foster an inclusive environment.

Responsabilidades

  • Develop and optimize scalable data pipelines for diverse business needs.
  • Collaborate with teams to ensure data quality and support decision-making.
  • Engage in research and adoption of new technologies to enhance data capabilities.

Conhecimentos

Data Engineering
SQL
Python
Data Architecture
Communication Skills
Team Collaboration
Problem Solving

Formação académica

BSc in Statistics, Mathematics, Physics, or Computer Science
MSc or PhD in related fields

Ferramentas

AWS
GCP
Azure
Hadoop
Spark
Kafka
Airflow
Docker
Kubernetes

Descrição da oferta de emprego

Senior Data Engineer

Who We Are

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

Location and Flexibility

This role can be fully remote for candidates based in the states of São Paulo and Rio Grande do Sul as well as in the cities of Rio de Janeiro, and Belo Horizonte, due to team distribution and occasional in-person opportunities. If you are based in São Paulo or Porto Alegre, you are welcome to work from one of our offices on a flexible schedule.

The Opportunity

As a Data Engineer part of our growing Data Science team, you will be responsible for designing, implementing, and maintaining robust and scalable data pipelines, enabling efficient data integration, storage, and processing across our various data sources. You will collaborate with cross-functional teams, including Data Scientists, Software Engineers, and other technical stakeholders, to ensure data quality and support data-driven decision-making.

Responsibilities

  • Develop and optimize scalable, high-performing, secure, and reliable data pipelines that address diverse business needs and considerations
  • Identify opportunities to enhance internal processes, implement automation to streamline manual tasks, and contribute to infrastructure redesign
  • Act as a guide and mentor to junior engineers, supporting their professional growth and fostering an inclusive working environment
  • Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making to strive for greater functionality in our data systems
  • Collaborate with project managers and product owners to assist in prioritizing, estimating, and planning development tasks
  • Provide constructive feedback, and share expertise with fellow team members, fostering mutual growth and learning
  • Engage in ongoing research and adoption of new technologies, libraries, frameworks, and best practices to enhance the capabilities of the data team
  • Demonstrate a commitment to accessibility and ensure that your work considers and positively impacts others

Qualifications

  • BSc, MSc, and/or PhD in Statistics, Mathematics, Physics, CS, or another related subject
  • Experience in technology-related fields, which can be industry and/or academic research (e.g. BI, Software, Data Science, Data Engineering)
  • At least 3 years of experience as Data Engineer
  • Have actively participated in the design and development of data architectures
  • Hands-on experience in developing and optimizing data pipelines
  • Experience working with databases and data modeling projects, as well as practical experience utilizing SQL
  • Effective English communication - able to explain technical and non-technical concepts to different audiences
  • Experience with a general-purpose programming language such as Python or Scala
  • Ability to work well in teams and interact effectively with others
  • Ability to work independently and manage multiple tasks simultaneously while meeting deadlines

Bonus Points

  • Cloud platforms and services, such as AWS, GCP, or Azure
  • Big data tools such as Hadoop, Spark or Kafka
  • Orchestration tools such as Airflow
  • NoSQL databases
  • Containerization technologies such as Docker and Kubernetes
  • Agile development environment and familiarity with Agile methodologies

Why TELUS Digital?

At TELUS Digital, you’ll work with world-class brands like FOX, HBO, PepsiCo, and Domino's, building transformative digital products that impact millions. Our global reach allows you to collaborate with diverse, international teams, solving complex problems and delivering tech-driven solutions that matter.

We thrive on engineering excellence, using the latest technologies in cloud computing, AI, machine learning, DevOps, microservices architecture, and data engineering. Our teams embrace Agile methodologies, continuous integration and deployment (CI/CD) pipelines, and a DevOps-first mindset to deliver solutions at scale.

In addition to being part of an international and innovative consultancy company, you will have:

  • A Global Innovation Hub: Be part of an international consultancy at the forefront of technology
  • Work-Life Harmony: Enjoy flexible hours and autonomy to balance your professional and personal life
  • Cutting-Edge Tech Playground: Dive into the latest technologies and shape the future of digital solutions
  • Prestigious Partnerships: Collaborate with world-renowned brands, making a real impact in the market
  • Growth-Centric Environment: Thrive in our collaborative ecosystem with a clear career development path
  • Global Exposure: Embrace optional international travel opportunities to broaden your horizons

Some of our benefits:

  • Health and dental plan
  • Life insurance
  • Monthly voucher for meals, culture, education, health and mobility
  • Child care assistance and more!

Equal Opportunity Employer

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.

We will only use the information you provide to process your application and to produce tracking statistics. Since we do not request personal data deemed sensitive, we ask you to abstain from sharing that information with us.

For more information on how we use your information, see our Privacy Policy.

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