Data Engineer

A Data Engineer, work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling the team to advance the data-driven decision-making capabilities of our enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows

Responsibilities

• Collaborate with a cross-functional agile team conceiving and building data-based products and services.
• Partner with Data Scientists to develop prototypes for proof-of-concept validation.
• Be the guardian of Data Quality and the pipelines.
• Architect and/or implement data pipelines using modern tools with huge data volume and frequency.
• Partner with business users to develop complex solutions.

Requirements

• A degree in a quantitative discipline such as Computer Science, Engineering, Mathematics, Statistics.
• Excellent Software Engineering skills.
• You must have a good understanding of data structures, algorithms, and data architecture patterns.
• Real-world experience building, deploying, and serving data pipelines.
• Initial experience in data analysis and building simple models.
• Strong knowledge in Spark, Python/Scala. Azure experience is a plus.
• Experience with CI/CD and pipeline automation.
• English proficiency.

Benefits

• PPR: varies according to the professional's performance and the company's profits;
• Health plan: expandable to dependents without co-payment or payroll deductions for themselves or their dependents;
• Dental Plan: expandable to dependents without co-participation or payroll deduction for themselves or their dependents;
• Life Insurance: no co-payment or payroll deduction;
• VA/VR: Transferred to the Flash benefits card;
• Corporate education incentive: we are finalizing the points regarding this benefit;
• Daycare allowance: for dependents up to 5 years old;
• Referral program: program to refer professionals in which the new Shaper is contemplated after his/her referral completes 3 months of service;
• Mentoring: with Shape leadership, aiming career development.