Senior Data Engineer

Job not on LinkedIn

🕒 July 30

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 17%

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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Keep IT Simple

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1988

📦 Logistics

🏥 Healthcare

🔒 Cybersecurity

Logistics • Healthcare • Cybersecurity

Keep IT Simple (KIS) is an IT services and solutions provider based in Silicon Valley, serving customers throughout California and beyond since 1988. They specialize in providing expertise in cybersecurity, virtualization, cloud solutions, and consulting for network infrastructures, helping clients navigate and solve complex IT challenges. KIS is dedicated to delivering comprehensive, cost-effective IT solutions and exceptional customer service.

📋 Description

• Data Engineer with strong experience in Oracle Data Integrator (ODI), data modeling, and development of integration pipelines for enterprise projects. • The professional will work on a strategic technology project, responsible for developing, maintaining, and evolving data integrations using Oracle Data Integrator (ODI). • Building data pipelines (ensuring correct execution and compliance with the company's required security standards), data modeling, optimization of ETL/ELT processes, performance analysis, and integration across enterprise systems; • Organize the data infrastructure and integrate information to optimize data access and usage.

🎯 Requirements

• Solid experience as a Data Engineer, minimum 4 years in the role. • Strong experience with Oracle Data Integrator (ODI 11g/12c); • Strong knowledge of SQL and Oracle databases; • Experience developing ETL/ELT processes; • Data modeling; • Code versioning (Git/Bitbucket); • Knowledge of Linux; • Experience working in agile projects; • Knowledge of dimensional modeling (Data Warehouse and Data Marts); • Python; • Airflow or NiFi; • Data Lake/Data Warehouse; • Docker; • Cloud (AWS, OCI, or Azure); • Knowledge of integration via APIs; • Degree in Computer Science, Computer Engineering, Data Engineering, or related fields. Must have a solid educational background in information technology; • Languages: Fluent Portuguese and technical English for reading.

🏖️ Benefits

• 100% remote.