Data Engineer

Job not on LinkedIn

🕒 July 21

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 32%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Sicredi

WebsiteLinkedInAll Job Openings

10,000+ employees

🛡️ Insurance

📦 Logistics

💼 Consulting

Insurance • Logistics • Consulting

Sicredi is a cooperative financial institution based in Brazil that offers a wide range of financial services, including personal and business banking, investments, insurance, and credit solutions. With over 9 million members, Sicredi emphasizes community development by reinvesting resources locally and providing personalized services to its clients. The institution operates more than 2,800 branches nationwide, focusing on a humanized approach to finance and supporting the agribusiness sector alongside individuals and businesses.

📋 Description

• Transform data into strategic insights, supporting decision-making and business growth • Ensure data quality monitoring • Implement processes to monitor data accuracy, consistency, and integrity • Protect data from unauthorized access through security measures such as encryption and access controls • Work closely with data professionals and business areas to understand their needs • Monitor data platform performance and implement improvements to optimize efficiency and scalability • Document data engineering processes and procedures to ensure practices are repeatable and understandable to other team members

🎯 Requirements

• Preferred Fields of Study: Systems Analysis, Statistics, Mathematics, Computer Science, Engineering, or related fields • Education Level: Undergraduate degree completed or in progress • Programming Language Proficiency: Languages such as Python, Java, Scala, and SQL are essential • In-depth knowledge of relational databases such as MySQL and Oracle, as well as non-relational databases such as MongoDB • Knowledge of cloud storage tools such as Amazon S3 or other cloud platforms • Experience with ETL (Extract, Transform, Load) • Proficiency in distributed storage and processing • Knowledge of Big Data tools such as Hadoop, Spark, and Kafka • Clear and effective communication with other data professionals and business areas

🏖️ Benefits

• 14th and 15th fixed annual salaries • Profit-sharing (according to seniority) • Health and dental insurance with no copayments • Wellness programs through Wellhub (formerly Gympass), including nutrition, psychology, workplace fitness, massage, a running group, and a local gym • Meal and food allowances—with flexible allocation percentages between the food and meal cards, with no copayments • Extended maternity and paternity leave • Childcare or nanny assistance for children up to 6 years and 11 months old • Assistance for employees with children with disabilities, with no age limit • Life insurance • Private pension plan with contributions of up to 8% of salary • Training platform—Sicredi Aprende—with a wide range of courses • 40-hour workweek, using a time-banking system • Remote-work allowance (except for positions that are 100% on-site)