Senior Data Engineer

🔥 32 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Cadastra

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

🛍️ eCommerce

📣 Marketing

☁️ SaaS

eCommerce • Marketing • SaaS

Cadastra is a leading digital performance and marketing solutions company in Latin America. They specialize in integrated strategies that combine marketing, technology, and data to help businesses grow exponentially. With over 25 years of experience, Cadastra empowers brands through services such as conversion optimization, media services, CRM and customer experience solutions, data analytics, and cloud services, catering to both B2C and B2B sectors.

📋 Description

• Refine and document prioritized initiatives with business teams by gathering requirements, needs, and dependencies • Develop and maintain data pipelines using ETL/ELT strategies, managing the full data ingestion, transformation, and delivery lifecycle • Build and enhance the data platform across the Raw, Trusted, and Refined layers, ensuring data quality, reliability, and scalability • Model tables and data structures incorporating business rules, structuring the semantic layer for analytical and strategic consumption • Create and evolve data storage and processing solutions, considering Data Lake/Lakehouse architectures, relational databases, and non-relational databases • Develop integrations between processed data and external tools or applications, such as Google Apps Script • Create, prototype, and validate dashboards and data visualization solutions in partnership with business teams • Partner with analysts and stakeholders to translate business needs into efficient and sustainable data solutions • Work autonomously, leveraging the team’s diverse professional backgrounds to maximize delivery impact • Collaborate on planning sessions, meetings, and ceremonies with clients and business teams • Explore new technologies and contribute to initiatives involving Artificial Intelligence applied to data

🎯 Requirements

• Strong experience in Data Engineering • Strong knowledge of SQL and Python • Experience with Data Engineering in cloud environments, preferably GCP (Google Cloud Platform) • Hands-on experience with BigQuery, Cloud Storage, and Cloud Functions • Knowledge of Cloud Run, Artifact Registry, Docker, Dockerfile, and CI/CD • Experience building and maintaining data pipelines, with knowledge of medallion architecture (Raw, Trusted, and Refined) • Knowledge of Data Lake/Lakehouse architectures, data modeling, and best practices for data storage, processing, and loading • Experience with data workflow orchestration tools such as Airflow, Luigi, Kubeflow, or similar technologies • Experience with agile methodologies and task management tools, preferably Jira • Strong communication skills and the ability to translate business needs into technical solutions • Curiosity, adaptability, and an interest in new technologies, with willingness to contribute to initiatives related to Artificial Intelligence • Preferred: experience with data visualization tools and dashboard development • Preferred: experience integrating data platforms with external applications • Preferred: experience working on projects involving Artificial Intelligence applied to data

🏖️ Benefits

• Meal and grocery allowance on a FLASH card • Home office allowance on a FLASH card • Health insurance according to your location • Dental insurance according to your location • Birthday day off plus an amount deposited onto your FLASH card • Extended maternity and paternity leave • Profit sharing (PLR) • Life insurance • Childcare assistance • Employee referral bonus • Transportation allowance • Clude | Health Platform • TotalPass • Partnership with Fecap — 10% to 20% discounts on undergraduate, postgraduate, MBA, and master’s programs

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