Senior Data Engineer

Job not on LinkedIn

🔥 2 minutes 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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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

• Create and maintain scalable, reusable data platform modules for processing and storing data • Design and manage data repositories, ensuring efficient and secure storage • Transform raw data into usable formats using Databricks and other ETL solutions • Implement processes to monitor data accuracy, consistency, and integrity • Protect data from unauthorized access through encryption and access controls • Collaborate with data professionals and business teams to understand their needs • Monitor platform performance and implement improvements to optimize efficiency and scalability • Document data engineering processes and procedures

🎯 Requirements

• Knowledge of programming languages such as Python, Java, Scala, and SQL • 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 and other cloud solutions • Experience with ETL (Extract, Transform, Load) processes for data extraction, transformation, and loading • Knowledge of distributed storage and processing using Big Data tools such as Hadoop, Spark, and Kafka • Knowledge of data architectures, with the ability to design and implement scalable, robust solutions • Clear, effective communication with data professionals and business teams • Knowledge of or experience with Databricks (preferred) • Experience working in Data and Analytics Platform environments (preferred) • Interest in continuous learning, knowledge sharing, specialization, and professional certifications (preferred)

🏖️ Benefits

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