Analytics Engineer

🔥 13 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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RecargaPay

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📦 Logistics

📣 Marketing

💰 $10M Debt Financing on 2022-07

Consulting • Logistics • Marketing

RecargaPay is a leading all-in-one payment platform in Brazil, dedicated to providing easy and secure access to mobile payments and digital financial services for everyone. The platform enables users to pay bills, recharge transportation and mobile phones, purchase gift cards, and make Pix transactions with credit cards. RecargaPay offers a comprehensive range of financial services, including cashback rewards, small loans, and a digital wallet with daily interest accrual. Additionally, they provide services to businesses, such as free business accounts, payment processing, and marketing solutions. With a focus on accessibility and innovation, RecargaPay strives to change how payments are made in Brazil.

📋 Description

• Lead the architecture and development of enterprise-grade Data Products, bridging SAP's business semantic layer and the Databricks Lakehouse. • Transform and model complex SAP source data, including Finance and Sales data, within Databricks using PySpark and SQL. • Build governed, performant, business-oriented data marts. • Design and oversee strategic dashboards and analytical layers in Tableau or QlikSense, powered by curated Databricks data. • Advise key departments on leveraging SAP data to define KPIs, conduct advanced analyses, and build data-driven decision-making frameworks. • Ensure standardization, governance, and version control using dbt and Git, integrating solutions with existing data pipelines. • Champion analytical automation and data democratization through self-service tools and internal training. • Collaborate with Data Engineering, Product, and Technology teams to connect data to digital products, processes, and business strategies. • Mentor analytics professionals in technical development, methodological consistency, and data storytelling. • Represent Analytics Engineering in data governance, data quality, and data architecture committees.

🎯 Requirements

• Strong experience with SQL and PySpark for transforming, modeling, and processing large-scale, complex datasets, particularly from SAP systems. • Understanding of SAP data structures and core business processes (e.g., Finance (FI/CO)). • Proven ability to design and build analytical views and reusable data assets, aligned with business logic and performance standards. • Proficiency in visualization tools preferably Tableau or equivalent platforms (e.g., Qlik Sense, Power BI, Looker). • Hands-on experience with Databricks, including the development of business-oriented data marts and analytical models. • Familiarity with dbt, Git, and collaborative documentation tools (e.g., Confluence, Notion, Markdown-based wikis). • Ability to translate business requirements into governed, maintainable, and scalable analytical solutions. • Design cross-domain analytical solutions that are interoperable and scalable beyond individual products or squads.

🏖️ Benefits

• Competitive and market-aligned salary. • Remote work — wherever you are, you’re part of the team! • Home office allowance through a monthly deposit in the RecargaPay app. • Health and dental plans with no co-pay. • Life insurance. • Flexible meal allowance (via Flash). • TotalPass membership to take care of your health.