Data Analyst, Mid-Level

• Contribute to the evolution of the data architecture and strategy.
• Define standards, make critical technical decisions, and influence the direction of the data platform.
• Lead the design and evolution of the cloud data architecture (AWS), ensuring scalability, performance, and governance.
• Design and implement robust, resilient, and efficient data pipelines.
• Define technical standards for data modeling, ingestion, orchestration, and quality.
• Serve as a technical reference for the team, supporting and mentoring more junior engineers.
• Drive architecture and technology decisions.
• Lead complex data integration initiatives, including ERP, e-commerce, CRM, and franchise systems.
• Ensure data quality, consistency, and reliability throughout the pipeline.
• Work closely with the business, translating strategic challenges into data solutions.
• Advance DataOps, CI/CD, and pipeline observability practices.
• Optimize data infrastructure costs and performance.
• Play a leading role in building the omnichannel vision and data semantic layer.
• Support the ongoing maintenance and continuous evolution of the existing environment.

• Strong experience in data analysis and engineering in large-scale environments.
• Extensive experience with AWS cloud services (S3, Redshift, Glue, etc.).
• Advanced experience with data orchestration (Kestra, Airflow, or similar tools).
• Advanced SQL skills (tuning, modeling, complex queries, and stored procedures).
• Advanced Python skills applied to data and automation.
• Experience developing scripts and automations (ETL, validations, and integrations).
• Practical experience with RPA or process automation (e.g., Selenium, scripts, and integrations with legacy systems).
• Experience with analytical data modeling (Data Warehouse, Data Lake, etc.).
• Experience integrating multiple sources and complex systems.
• Experience with BI tools and an understanding of data consumption.
• Experience delivering end-to-end projects, including architecture, development, and maintenance.
• Strong communication skills and the ability to influence technical and business stakeholders.
• Practical experience with Redshift.
• Experience building semantic layers and implementing data governance.
• Knowledge of DataOps and pipeline automation (CI/CD).
• Experience with event-driven architecture (SNS, SQS, etc.).
• Experience with omnichannel or data unification projects.
• Experience with cloud costs and optimization.
• Familiarity with version control and software engineering practices (Git).
• This position is open to people with disabilities (PwD).

• Transportation allowance
• Meal/Food allowance
• Medical and dental insurance
• Pharmacy benefit
• Pet benefit
• Gym membership benefit (Wellhub)
• Birthday Day Off
• Discounts at Wine Locals
• Discounts through Creditas
• Discount club for Evino and Grand Cru products
• 100% remote work
• Monthly All Hands: conversations with our CEO and directors
• Opportunity to create and collaborate with the team