Senior Data Administrator

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🖥️ Administration

👻 Ghost score 12%

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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Montreal Oficial

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1986

🔒 Cybersecurity

☁️ SaaS

Cybersecurity • SaaS • BPO

Montreal Oficial is a technology company providing innovative solutions in secure identification and authentication, operational continuity, intelligent management, and automation. They specialize in advanced biometric technologies, data center and cloud solutions, and business process outsourcing. Montreal Oficial aims to support public and private institutions with efficient, secure, and connected services, driving digital transformation and addressing complex challenges faced by their clients.

📋 Description

• Develop data pipelines in Python for ingesting and processing large volumes of information, including time-series data, financial data, and public policy indicators • Design advanced architectures for relational databases (PostgreSQL) supporting financial transactions and NoSQL databases (MongoDB) for unstructured data • Develop routines for data cleansing, anonymization, and enrichment • Ensure database integrity and performance under high concurrency • Create intelligent dashboards (BI) using industry-standard tools • Serve as a technical specialist in integrating complex data from heterogeneous sources and formats • Ensure compatibility and information integrity across different systems • Create logical and physical data models, including primary and foreign keys, indexes, and views • Work with data visualization, data mining, and ETL tools

🎯 Requirements

• Completed higher education (technology degree, bachelor's degree, and/or lato sensu or stricto sensu postgraduate degree) in Information Technology • Experience as a Senior Data Analyst and with agile development • Advanced Python skills for data engineering • Knowledge of PostgreSQL • Knowledge of MongoDB • Knowledge of DAX (Power BI) • Knowledge of LLMs and prompt engineering best practices • Familiarity with Elastic (Elasticsearch), statistics, agentic AI, and machine learning is desirable

🏖️ Benefits

• We invest in talent development • Open to people with disabilities (PwD)