Senior Data Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Develop and sustain scalable, reusable data platform modules for the processing and storage of data.

• Design and oversee data repositories to ensure efficient and secure storage solutions.

• Convert raw data into accessible formats utilizing Databricks and various ETL tools.

• Establish processes to monitor data accuracy, consistency, and integrity.

• Safeguard data from unauthorized access through encryption and access control measures.

• Collaborate with data experts and business units to understand their requirements.

• Track platform performance and execute enhancements to optimize efficiency and scalability.

• Document processes and procedures related to data engineering.

⛳️ Requirements

• Proficiency in programming languages such as Python, Java, Scala, and SQL.

• Familiarity with relational databases like MySQL and Oracle, as well as non-relational databases such as MongoDB.

• Understanding of cloud storage solutions, including Amazon S3 and other related tools.

• Experience with ETL (Extract, Transform, Load) processes for data extraction, transformation, and loading.

• Knowledge of distributed storage and processing using Big Data technologies such as Hadoop, Spark, and Kafka.

• Understanding of data architectures, with the capability to design and implement scalable, robust solutions.

• Ability to communicate clearly and effectively with data professionals and business teams.

• Familiarity with or experience in Databricks (preferred).

• Experience in Data and Analytics Platform environments (preferred).

• Commitment to continuous learning, knowledge sharing, specialization, and pursuing professional certifications (preferred).

🏝️ Benefits

• Fixed annual salary payments on the 14th and 15th of each month.

• Profit-sharing bonuses based on seniority.

• Comprehensive health and dental insurance with no copayments.

• Wellness programs through Wellhub (formerly Gympass), offering nutrition support, psychological assistance, workplace exercise, massage services, a running club, and access to a local gym.

• Food and meal allowances with flexible allocation percentages between food and meal cards, with no copayments required.

• Extended maternity and paternity leave.

• Childcare or nanny support for children up to 6 years and 11 months of age.

• Financial assistance for children with disabilities, with no age restrictions.

• Life insurance coverage.

• Private pension plan with employer contributions of up to 8% of the salary.

• Access to a training platform—Sicredi Aprende—featuring a variety of courses.

• A 40-hour workweek structured around a time bank system.

• Remote-work allowance, except for roles that are entirely on-site.