Data Engineer Specialist (Vaga Afirmativa para Mulheres)

About Us

Merama’s mission is to become the best and largest online group of brands in Latin America. Our business model consists on acquiring consumer goods brands across Latin America and accelerate growth on e-commerce and marketplaces together with the leading merchants. We're a young company with more than 20 brands and 300 people around LATAM (with focus on Brazil, Mexico, Argentina, Peru, Colombia and Chile) and USA with different nationalities. Merama ran 2 investment rounds, and before completing the first year of operations, Merama became a Unicorn Company. 

 

Why would you love working at Merama?

We are a company committed to our people, we strongly believe in giving the best customer experience, not only for our external clients but our internal clients too, we care about them and their wellbeing. Also, we are an inclusive company where everybody can feel safe and heard. 

We are a fast-paced environment moved by collaboration and data-driven mindset that encourages everyone to participate, to create and build our future together.

Merama is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We don’t make hiring or employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, or any other basis protected by applicable laws or prohibited by company policy. 

 

If you want to learn more about Merama please visit: Merama.io |  Instagram: @merama.io | LinkedIn

 

Abot the Role

The Senior Data Engineer is responsible for collecting, designing, developing, documenting and performing data pipelines in our Merama Data Platform. The primary goal for this role is to ensure that data is prepared enough to be delivered to our internal stakeholders and customers. 

 

Responsibilities

• Identify opportunities for data acquisition
• Combine raw information from different sources
• Analyze and organize raw data 
• Build data systems and pipelines
• Conduct complex data preparation into intuitives dimensional models
• Prepare data for prescriptive and predictive modeling
• Build algorithms and prototypes
• Evaluate analytics needs and objectives
• Collaborate with data analysts and scientists on several projects

 

Other key activities

• Collaborate with Product Managers, developers, and data engineers to elicit, document, and translate business requirements for data needs into technical requirements while contributing to a unified system architecture and minimizing technical debt
• Collaborate on and learn new technologies

 

Work team approach

• Work on a highly collaborative agile team
• Coordinate work with the Data Analysts, as needed
• Participate in technical reviews and provide detailed feedback for process improvement
• Effective communication skills with an ability to explain technical concepts to developers and product managers
• Excellent problem solving and critical thinking skills
• Ability and desire to work with a team of people solving complex problems that often require independent research with minimal supervision
• Self-starter able to make an impact with little guidance
• Outstanding attention to detail and ability to meet deadlines

 

 We are looking for someone who has:

• 3+ years of professional data engineering working experience.
• Experience with at least some columnar databases (Redshift, Snowflake, Google Bigquery, etc), in writing complex SQL queries 
• Experience writing and orchestrating data pipelines using Python (Airflow and/or Airbyte or Prefect, etc).
• Experience with Containers (Docker)
• Understanding of ELT methodologies and Data Warehousing principles, approaches, technologies, and architectures including the concepts, designs, and usage of data warehousing, multi-dimensional, star schemas.
• Advanced / Fluent English
• Nice to have experience with DBT
• Nice to have experience collecting data from a variety of data sources (Transactional Databases and APIs

What we offer to you (benefits):

• Meal Voucher (Caju)
• Health Insurance
• Gympass
• Reimbursement for English or Spanish Classes