
Senior Data Engineer
Posted Oct 14

Posted Oct 14
This is a fully remote position, open to applicants in Brazil.
• Develop and sustain scalable, reusable modules for a data platform aimed at processing and storing data.
• Design and oversee repositories to ensure efficient and secure data storage.
• Convert raw data into usable formats utilizing Databricks and other ETL solutions.
• Establish procedures to monitor data accuracy, consistency, and integrity.
• Safeguard data against unauthorized access through encryption and access controls.
• Work collaboratively with data professionals and business teams to identify and understand their requirements.
• Track data platform performance and implement enhancements for efficiency and scalability.
• Document data engineering processes and procedures to guarantee that practices are replicable and easily comprehensible.
• Proficiency in programming languages such as Python, Java, Scala, and SQL.
• Familiarity with relational databases, including MySQL and Oracle, as well as non-relational databases like MongoDB.
• Understanding of cloud storage tools, such as Amazon S3, among 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 like 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 various data professionals and business teams.
• Familiarity with or experience using Databricks.
• Background in Data Platform and Analytics environments.
• Enthusiasm for continuous learning, knowledge sharing, specialization, and obtaining certifications.
• Fixed annual salary payments for the 14th and 15th months.
• Profit-sharing payments based on seniority.
• Comprehensive health and dental insurance with no co-payment required.
• Wellness programs available through Wellhub (previously Gympass), including services for nutrition, psychology, workplace fitness, massage, a running group, and access to a local gym.
• Food and meal allowances, allowing for flexible allocation percentages between food and meal cards, with no co-payment.
• Extended maternity and paternity leave provisions.
• Childcare or nanny allowance for children up to 6 years and 11 months.
• Allowance for children with disabilities, available without an age limit.
• Life insurance coverage.
• Private pension plan with contributions up to 8% of salary.
• Access to a training platform—Sicredi Aprende—offering a wide array of courses.
• 40-hour workweek utilizing a time bank system.
• Remote work allowance (with the exception of positions requiring 100% on-site presence).
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