Overview
Yalo is on a mission to bring conversational commerce to the world by marrying the scale of digital commerce with the personalization and simplicity of conversations.
We focus on Emerging Markets and aim to bring amazing experiences to populations traditionally underserved, such as small shop owners in Brazil ordering online for the first time.
Join us in the mission of improving billions of lives through the power of conversational commerce.
Your role: We are seeking a skilled Analytics Engineer with solid experience delivering clean data sets to end users and modeling data to empower end users to answer their own questions.
This person will be responsible for data structures, formats, and the construction of ETLs, and ideally has experience as a Data Analyst.
Responsibilities
- Developing visualizations in Looker, Looker Studio and PowerBI for internal stakeholders and final customers.
- Transforming, testing, deploying, and documenting data.
- Applying software engineering best practices like version control and continuous integration to the analytics code base.
- Help to design, build and maintain batch or real-time data pipelines in production.
- Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
- Help to design and maintain a semantic layer and collaborate in Data Governance.
- Automate data workflows ideally experience in dbt Cloud.
- Prepare raw data in Data Warehouses into a consumable dataset for both technical and non-technical stakeholders.
- Partner with data scientists and data analysts to deploy machine learning and data models in production.
- Participate in data monitoring about its performance and help to implement optimization strategies.
- Collaboration: Work closely with cross-functional teams, product managers, and stakeholders to ensure the delivery of high-quality software.
- Continuous Learning: Stay updated with the latest trends and technologies in data systems, ensuring that our systems remain state-of-the-art.
Job Requirements
- Bachelor’s/Master’s degree in Computer Science, Information Systems, or a related field.
- Minimum 3 years of Analytics Engineering experience.
- Good experience in designing and building ETL/ELT models and data workflows.
- Working knowledge on designing a BI semantic layer.
- Good understanding of data structures, algorithms, and software design.
- Advanced SQL skills and experience with relational databases and database design.
- Experience working with BigQuery data warehouse and other solutions like Snowflake/ Databricks.
- Ideally working knowledge in object-oriented languages (e.g. Python).
- Knowledge of data pipelines services like Fivetran.
- Good understanding of batch and stream pipelines like Kafka.
- Ideally, experience in cloud environments and good understanding of microservices and APIs.
- Understanding of data pipeline and workflow management tools (e.g., Airflow).
- Strong project management and organizational skills.
- Excellent problem-solving, communication, and organizational skills.
- Proven ability to work independently and with a team.
Nice to have
- Collaborative experience in Data Governance and semantic layers.
Soft Skills That Matter To Us
- Work closely with cross-functional teams, product managers, and stakeholders to ensure the delivery of high-quality software.
- Good attitude to act as a tech-lead - identifying the right resources, and supporting the team’s plan.
- Excellent communication and collaboration skills.
What do we offer?
- Unlimited PTO policy
- Competitive rewards on the market range
- Remote working is available (-+3 hours CT)
- Flexible time (driven by results)
- Start-up environment
- International teamwork
- You and nothing else limit your career here
We are an Equal Opportunity Employer, providing equal opportunities to individuals regardless of race, color, religion, national or ethnic origin, gender, sexual orientation, gender identity or expression, age, disability, protected veteran status, or any other legally protected characteristic.
Our commitment to fairness and equality is a fundamental pillar of our company.
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