Data Reliability Engineer

Job not on LinkedIn

August 22

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Logo of TELUS Technology

TELUS Technology

Telecommunications • Security

TELUS Technology is a company requiring users to enable JavaScript for verifying them as humans. While the main details about the company are unclear from the text, it appears to be involved in online security or web-based activity verification. The functionality they offer may be part of larger telecommunications or technology solutions.

📋 Description

• TELUS Digital Brazil is the global digital section of TELUS delivering transformative digital solutions with multi-shore delivery capabilities, multi-language programs, and secure infrastructure. • Role offers fully remote work for candidates in São Paulo state, Rio Grande do Sul, Rio de Janeiro, and Belo Horizonte; offices in São Paulo or Porto Alegre for flexible schedule. • The team works with brands like FOX, HBO, PepsiCo, and Domino's; leveraging cloud, AI, ML, DevOps, microservices, and data engineering. • Responsibilities include designing scalable data pipelines, optimizing efficiency, monitoring reliability, automated alerting, disaster recovery, capacity planning, documentation, and post-incident reviews. • Requirements include 5+ years of data engineering experience; strong Python and SQL; cloud platforms (GCP/AWS/Azure); BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub; Git; strong English. • Benefits include health and dental, life insurance, vouchers, child care, and more; equal opportunity employer; global collaboration opportunities.

🎯 Requirements

• 5+ years of hands-on experience in supporting data engineering teams, strongly emphasizing data pipeline enhancement and optimization, and data integration. • Proficient in cloud computing, preferably Google Cloud Platform (GCP), but AWS and Azure are also valid. • Experience with cloud data-related services such as BigQuery, Dataflow, Cloud Composer, Dataproc, Cloud Storage, Pub/Sub, or the correlated services from other providers. • Solid proficiency with Python in terms of data processing. • 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. • Strong English communication and documentation skills.

🏖️ Benefits

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

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