Senior Data Platform Engineer

TELUS Digital Brazil; São Paulo; Teletrabalho; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading digital product consultancy is seeking a Data Engineer to design and implement scalable data pipeline architectures. Candidates should have over 5 years of experience in enhancing data pipelines and cloud technologies like GCP. The role can be fully remote within specific states in Brazil, providing an opportunity to work with prestigious global brands. Attractive benefits include health plans and flexible schedules.

Serviços

Health and dental plan

Life insurance

Monthly voucher for meals

Child care assistance

Qualificações

• 5+ years of hands-on experience in supporting data engineering teams.
• Advanced/Fluent English communication and documentation skills.
• Experience optimizing data pipelines for efficiency.

Responsabilidades

• Design and implement scalable data pipeline architectures.
• Continuously optimize data pipeline efficiency.
• Monitor performance and reliability of data pipelines.

Conhecimentos

Data pipeline enhancement

Cloud computing - GCP

Python for data processing

SQL proficiency

Monitoring and troubleshooting

Version control - Git

Ferramentas

BigQuery

Dataflow

Cloud Composer

Dataproc

Cloud Storage

Pub/Sub

Descrição da oferta de emprego

Overview

Welcome to TELUS Digital, where innovation meets impact. As an award-winning digital product consultancy, we shape the future of digital experiences through cutting-edge technology, agile thinking, and a culture that puts people first. We are the global digital section of TELUS, one of Canada’s largest telecommunications providers. Our global teams deliver transformative digital solutions and customer experiences for industry leaders in consumer electronics, finance, telecommunications, and utilities. With robust multi-shore delivery capabilities, multi-language programs, and secure infrastructure, we ensure exceptional service backed by 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.

Qualifications

• 5+ years of hands-on experience in supporting data engineering teams, strongly emphasizing data pipeline enhancement and optimization, and data integration.
• Advanced/ Fluent English - communication and documentation skills.
• Proficient in cloud computing - GCP.
• Solid proficiency with Python in terms of data processing.
• Experience with cloud data-related services such as BigQuery, Dataflow, Cloud Composer, Dataproc, Cloud Storage, Pub/Sub, or the correlated services from other providers.
• Knowledge of SQL and experience with relational databases.
• Proven experience optimizing data pipelines toward efficiency, reducing operational costs, and reducing the number of issues/failures.
• Solid knowledge of monitoring, troubleshooting, and resolving data pipeline issues.
• Familiarity with version control systems like Git

Responsibilities

• Design and implement scalable data pipeline architectures in collaboration with Data Engineers.
• Continuously optimize data pipeline efficiency to reduce operational costs and minimize issues and failures.
• Monitor performance and reliability of data pipelines, enhancing reliability through data quality, analysis, and testing.
• Build and manage automated alerting systems for data pipeline issues.
• Automate repetitive tasks in data processing and management.
• Develop and manage disaster recovery and backup plans.
• In collaboration with other Data Engineering teams, conduct capacity planning for data storage and processing needs.
• Develop and maintain comprehensive documentation for data pipeline systems and processes, and provide knowledge transfer to data-related teams.
• Monitor, troubleshoot and resolve production issues in data processing workflows.
• Maintain infrastructure reliability for data pipelines, enterprise datahub, HPBI, and MDM systems.
• Conduct post-incident reviews and implement improvements for data pipelines.

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!

Equality

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Therefore we provide equal employment opportunities to all employees and applicants regardless of race, color, religion, gender identity, sexual orientation, national origin, age, or disability.

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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