Mid/Senior Data Engineer – Databricks

🔥 1 minute ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.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

• Translate business challenges and opportunities into solutions based on Artificial Intelligence and Machine Learning • Identify high-value use cases and measure the financial, operational, and strategic impact of developed models • Design, build, validate, and optimize advanced end-to-end Machine Learning models • Explore and prepare data, deploy models, and monitor them in production environments • Implement MLOps practices for pipeline automation, model versioning, performance monitoring, and drift detection • Design and evolve scalable data and Machine Learning architectures in cloud environments, especially GCP • Ensure the performance, security, availability, and operational efficiency of solutions • Apply best practices in development, data governance, observability, documentation, and model lifecycle management • Serve as a technical reference for Data and Artificial Intelligence initiatives • Support decision-making, define architectural standards, and share knowledge with multidisciplinary teams • Evaluate new technologies, frameworks, and approaches related to Artificial Intelligence, Machine Learning, and Generative AI

🎯 Requirements

• Advanced proficiency in Python or R for developing analytical models, manipulating data, automating processes, and implementing Machine Learning solutions in production environments • Solid experience with advanced SQL for extracting, transforming, cleaning, and integrating large volumes of data • Proven experience building, training, validating, optimizing, and deploying supervised and unsupervised models • Knowledge of Scikit-Learn, XGBoost, LightGBM, and related libraries • Experience with the complete Machine Learning model development lifecycle, including versioning, monitoring, reproducibility, and pipeline automation • Experience with Google Cloud Platform (GCP), Spark, Databricks, and BigQuery • Strong knowledge of statistics, statistical inference, mathematical modeling, and experimental design • Experience conducting and interpreting A/B tests • Ability to turn analytical results and performance metrics into actionable insights • Experience developing and tracking business indicators and model metrics • Knowledge of building scalable architectures for data processing, storage, and consumption • Ability to work in highly complex analytical environments • Experience in the healthcare sector

🏖️ Benefits

• No benefits, perks, or additional compensation elements are explicitly stated in the posting.