Senior Data Engineer, GCP, Databricks

Job not on LinkedIn

🔥 14 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

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🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Leega

Leega

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

• Design, implement, and evolve scalable data pipelines in a GCP environment • Develop data ingestion, transformation, and delivery processes using GCP architectures • Define technical standards, best practices, and reusable frameworks for data engineering • Ensure solution performance, reliability, observability, and scalability • Develop and maintain analytical data models • Automate data integration and transformation processes • Ensure solution SLAs and availability • Identify opportunities for cost optimization in GCP • Support data platform migration and modernization initiatives • Build and optimize solutions using BigQuery, Dataform, Cloud Storage, Pub/Sub, Cloud Composer/Airflow, Dataflow, Cloud Functions, Cloud Run, Looker, and integrated BI tools • Implement Data Quality, Data Governance, and Data Observability processes • Ensure compliance with security requirements, Brazil’s LGPD, and corporate policies • Define data monitoring, auditing, and lineage strategies • Lead strategic, tactical, and operational data engineering initiatives • Support and mentor mid-level and junior data engineers • Participate in architectural decisions, technical reviews, impact analyses, and technical roadmap planning • Promote best practices in development, version control, documentation, and testing • Translate business needs into scalable technical solutions • Work closely with Analytics, BI, Product, and other teams to prioritize initiatives and deliver value • Support the evolution of the organization’s data strategy

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field • Senior-level professional with at least 5 years of direct Data Engineering experience on Google Cloud Platform (GCP) • At least 3 years of experience with Databricks • Experience with BigQuery, Dataform, Cloud Storage, Pub/Sub, Dataflow, Cloud Composer (Airflow), IAM, Cloud Monitoring, and Cloud Logging • Knowledge of ETL/ELT • Advanced SQL • Advanced Python • Knowledge of Shell scripting • Knowledge of data warehousing • Knowledge of dimensional modeling • Knowledge of Data Lakes and Lakehouse architectures • Version control with Git • CI/CD • Data testing and automated validation • Nice to have: Terraform, Docker, Kubernetes, Dataplex, Looker, MLOps processes, and event-driven architectures • Behavioral competencies: strategic vision, effective communication, analytical thinking, proactivity, complex problem-solving, results orientation, and cross-functional collaboration

🏖️ Benefits

• Porto Seguro health insurance, with the option to include a spouse and children • Porto Seguro dental insurance for employees and dependents • Profit-Sharing and Results Program (PLR) • Childcare assistance • Alelo food and meal vouchers • Home office allowance • Partnerships with educational institutions, offering discounts and incentives for courses and degree programs • Certification incentives, including cloud certifications (GCP, Azure, AWS, and others) • Livelo points • TotalPass • Mindself, with incentives for meditation and mindfulness • 100% remote work

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