GCP Data Engineer – Senior

Job not on LinkedIn

🕒 August 12

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Develop automated data ingestion pipelines from different areas and systems into GCP, applying the Medallion architecture (Bronze/Silver/Gold) • Design and expose governed views in BigQuery's Analytics layer • Ensure data integrity and quality for downstream consumption by multiple teams • Work on resolving production incidents with urgency and clear prioritization • Identify situations with potential impact to end customers and temporarily pause deliveries when necessary • Coordinate involved teams to resolve critical issues quickly • Collaborate with software engineering teams and various business areas • Ensure solutions align with the company's architecture and security standards • Alternate between building new solutions and supporting production systems in a Build & Run model

🎯 Requirements

• At least 4 years of solid hands-on experience with GCP, with strong expertise in BigQuery, Cloud Functions, Cloud Composer (Airflow), and Dataplex • Minimum of 3 years of experience in large-scale data architecture • Experience with the Medallion architecture and with data migrations or greenfield platform builds • Track record of complex integrations or migrations in large-scale environments • Minimum of 6 years total experience in data engineering • Advanced proficiency in SQL and Python for processing large volumes of data • Ability to quickly assess and prioritize production incidents with potential end-customer impact • At least 2 years of experience in a Build & Run model and production support (Run) • Senior profile with a technical leadership mindset • Ability to lead the end-to-end cutover of a data environment • Strong communication skills with analysts, software engineers, and business stakeholders • Ability to manage priorities and conflicting interests under pressure • Ability to translate business requirements into scalable technical solutions • Official Google Cloud certifications, experience with TeamMate, and knowledge of CI/CD and DataOps are a plus

🏖️ Benefits

• Porto Seguro health insurance, with the option to include spouse and children • Porto Seguro dental plan for employees and dependents • Profit Sharing (PLR) • Childcare allowance • Alelo meal and food vouchers • Home office allowance • Partnerships with educational institutions, offering discounts and incentives for courses and degrees • Support for certifications, including Cloud (GCP, Azure, AWS, etc.) • Livelo points • TotalPass, with discounted gym plans for employees and family members • Mindself program, promoting meditation and mindfulness