Data Engineer

Job not on LinkedIn

🕒 August 20

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 19%

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🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Cadmus Soluções em TI

Cadmus Soluções em TI

1001 - 5000 employees

Founded 1995

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Cadmus Soluções em TI is a Brazilian IT services and solutions company that accelerates business transformation by combining human expertise and artificial intelligence. It offers Multi-AI integrations, intelligent squads (multidisciplinary teams), automation of manual processes, digital solutions including custom software development and modernization, and talent-sourcing/capacity services to staff and upskill IT teams. The company operates a Center for Artificial Intelligence and delivers tailored enterprise software, chatbots, assistants and delivery accelerators for clients across large organizations.

📋 Description

• Develop and maintain data engineering pipelines on Azure and Databricks platforms • Gather and analyze business requirements with different areas of the organization • Propose technical data solutions aligned with operational and strategic needs • Perform testing and validation on pipelines and data systems of medium to high complexity • Monitor the performance of cloud big data systems and identify optimization opportunities • Support data quality, security, privacy and governance practices • Participate in migration projects and implementation of enterprise data solutions • Create and maintain technical documentation for pipelines, processes and data solutions • Troubleshoot and support resolution of technical issues • Mentor less experienced professionals and support other teams on data engineering matters • Participate in meetings with internal stakeholders to present solutions, clarify requirements and follow up on projects

🎯 Requirements

• Programming languages: SQL, Python and PySpark • Microsoft Azure platforms (Data Factory, Databricks, Data Lake) • Development and maintenance of data pipelines (ETL/ELT) • Relational and NoSQL databases • Fundamentals of big data and distributed processing • Agile methodologies (Scrum, Kanban) • Version control (Git) • Data governance concepts and LGPD (Brazilian General Data Protection Law) • Business requirements elicitation and analysis • Technical documentation • Clear and objective communication • Teamwork and collaboration • Results- and quality-oriented • Adaptability and continuous learning • Organization and time management

🏖️ Benefits

• Meal voucher and/or food allowance (iFood Benefícios) • Medical insurance (Amil) • Life insurance • Dental insurance (Amil) • Fuel allowance • Gympass/Wellhub: Access to gyms with various training modalities • Pet health plan • Childcare assistance • Lincard: Partnership club with discounts of up to 60% at over 4,000 establishments in Brazil

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