Mid-Level/Senior Data Engineer

Job not on LinkedIn

🕒 September 19

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 17%

What it means: the chance that no one is really hiring for this job.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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SysMap Solutions

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1999

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

SysMap Solutions is a services company devoted to offering technological development to its customers since 1997. With a focus on cloud solutions, Salesforce, mobile development, CRM, user experience, DevOps, machine learning, and digital transformation, SysMap Solutions leverages its extensive experience to craft complex codes and systems that meet client demands. The company prides itself on its ability to deliver tailored solutions, ensuring that the final product is precisely aligned with customer needs. In the Age of Information, SysMap Solutions stands out as a knowledgeable partner in technology.

📋 Description

• Build and evolve Data Lake environments, ensuring scalability and data governance • Design and build modern, modular data warehouses designed for growth and high performance • Develop data schemas and resilient architectures, following data engineering best practices • Define and evolve data architecture, ensuring reliable, scalable, and well-structured environments • Conduct exploratory analyses and support the development of predictive models • Participate in building data-driven recommendation mechanisms and processes • Support business squads with structured, reliable data ready to generate value • Act as a technical reference, supporting and developing more junior professionals • Collaborate actively with the team to solve complex problems and turn data into decisions

🎯 Requirements

• Experience developing ETL architectures • Knowledge of architectures for improving data performance and operations • Practical knowledge of managing and operating relational databases • Previous experience with DataOps • Practical knowledge of programming languages and algorithms (Python, TensorFlow) • Knowledge and experience in data development, integrations, and Docker and/or Kubernetes operations • GCP certifications are a plus • Bachelor's degree in IT or a related field • Strong sense of ownership and commitment to delivery • Proactive and collaborative mindset • Ability to take on challenges and see them through to completion • Strong communication skills and ability to work effectively with multidisciplinary teams • Curiosity and a desire to learn and continuously grow • Builder's mindset focused on continuous improvement

🏖️ Benefits

• This position is also open to people with disabilities (PwD)

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