Data Engineer

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Sicredi

WebsiteLinkedInAll Job Openings

10,000+ employees

🏦 Banking

💸 Finance

Banking • Finance • Cooperative

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

• Ensure monitoring of Data Quality; • Implement processes to monitor data accuracy, consistency, and integrity; • Data Security: Protect data against unauthorized access through security measures such as encryption and access control; • Collaboration with Teams: Work closely with data professionals and business areas to understand their needs; • Monitoring and Optimization: Monitor the performance of the data platform and implement improvements to optimize efficiency and scalability; • Documentation: Document data engineering processes and procedures to ensure practices are reproducible and understandable for other team members;

🎯 Requirements

• Preferred fields of study: Systems Analysis, Statistics, Mathematics, Computer Science, Engineering, or related areas. • Education level: Higher education – completed or in progress. • Proficiency in programming languages: Languages such as Python, Java, Scala, and SQL are essential; • Database knowledge: A deep understanding of relational databases (such as MySQL and Oracle) and non-relational databases such as MongoDB is crucial. Additionally, knowledge of cloud storage tools, such as Amazon S3 or other cloud providers, is important. • ETL experience (Extract, Transform, Load): ETL processes are fundamental to extract data from different sources, transform it according to business needs, and load it into target systems. • Proficiency in distributed storage and processing: As data volumes grow, knowledge of Big Data tools such as Hadoop, Spark, and Kafka is essential for distributed data storage and processing. • Strong, assertive, and fluent communication with other data professionals and business areas.

🏖️ Benefits

• Fixed 14th and 15th salaries; • Profit sharing (depending on seniority); • Health and dental plans with no co-payment; • Well-being programs with Wellhub (formerly Gympass): Nutrition, Psychology, Occupational Health, Massage, running group, and local gym; • Meal and food allowance – flexible percentage allocation between Meal and Food cards (VA/VR), with no co-payment; • Extended maternity and paternity leave; • Childcare or nanny assistance for children up to 6 years and 11 months; • Support for children with disabilities, no age limit; • Life insurance; • Private pension up to 8% of salary; • Training platform – Sicredi Aprende, offering various courses; • 40-hour workweek – using a time bank system; • Remote work allowance (except for positions that are 100% on-site).