Data Analyst, Mid-Level

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🇧🇷 Brésil – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

📉 Analyste de Données

👻 Score fantôme 15%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Vissimo Co

Site WebLinkedInTous les Emplois

1 - 10 employés

Fondée en 2021

🍽️ Alimentation et boissons

👥 B2C

🏨 Hôtellerie

Food & Beverage • B2C • Hospitality

élaboration de cuisine italienne fraîche et classique

Description

• 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.

🎯 Exigences

• 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).

🏖️ Avantages

• 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