Senior Data Engineer

Job not on LinkedIn

🕒 July 21

🏢🏡 São Paulo – Hybrid

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🗣️🇧🇷🇵🇹 Portuguese Required

Apply Now
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Logo of ESTADÃO

ESTADÃO

WebsiteLinkedIn

1001 - 5000 employees

📱 Media

🛍️ eCommerce

📚 Education

Media • eCommerce • Education

ESTADÃO is a prominent Brazilian news organization, offering a broad range of journalistic content including news, opinion pieces, cultural reviews, and sports coverage. With a history spanning over 150 years, ESTADÃO has established itself as a reliable source of news and information, serving its audience with in-depth reports on politics, economy, culture, and more through various digital platforms.

📋 Description

• Design, develop and maintain scalable, resilient data pipelines. • Model, structure and optimize databases for analytics and business applications. • Develop data ingestion, transformation and delivery processes (ETL/ELT). • Build and maintain data architectures in cloud environments, focusing on performance, security and governance. • Identify opportunities to optimize data platform costs and performance. • Prepare technical documentation, process flows and solution architecture. • Design integration processes between internal and external systems. • Gather technical requirements together with business stakeholders. • Support data scientists, analysts and developers in using the data platforms. • Participate in defining engineering, quality and data governance standards. • Manage technical data projects, tracking schedules, risks, dependencies and deliverables. • Lead technical meetings with internal teams and vendors when necessary.

🎯 Requirements

• Advanced experience with Google BigQuery. • Strong knowledge of data modeling. • Advanced SQL proficiency. • Experience optimizing queries and costs in BigQuery. • Experience with Microsoft SQL Server 2022, including: • - relational modeling; • - stored procedures, views and functions; • - query optimization; • - indexes; • - partitioning; • - basic environment administration. • Experience building data pipelines (ETL/ELT). • Knowledge of modern data architecture. • Experience with system integrations and APIs. • Version control experience using Git. • Experience in Cloud Computing environments (preferably Google Cloud Platform). • Ability to map business processes and data flows. • Experience creating architecture diagrams and technical documentation. • Knowledge of best practices in data governance and data quality. • Experience in process modeling (BPMN or similar is a plus). • Experience managing technical projects. • Ability to organize a backlog, prioritize tasks and track schedules. • Experience leading technical meetings and aligning across different teams. • Ability to translate business needs into technical solutions. • Experience with Data Warehouse and Data Lake solutions. • Knowledge of DataOps and CI/CD for data pipelines. • Experience with orchestration tools (Airflow, Composer or similar). • Knowledge of infrastructure as code. • Experience with high-volume data environments. • Knowledge of observability and monitoring for pipelines. • Experience with Machine Learning and supporting analytical models. • Google Cloud certifications.

🏖️ Benefits

• Health and dental insurance; • Birthday day off; • Casual dress code every day; • Transportation allowance; • On-site cafeteria; • Life insurance; • Access to Estadão's full digital content; • Exclusive discounts at educational institutions; • Psychological support (Wellz); • Pet plan; • Wellhub (formerly Gympass); • Private pension plan (OESPREV); • Estadão Benefits Club.

Apply Now

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