Mid-Level Analytics Engineer

🕒 September 23

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 22%

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LINA

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

LINA is a company for which no descriptive text was provided. No information about its products, services, customers, or industry was included in the input, so its focus and market cannot be determined from the supplied text.

📋 Description

• Ensure data quality across the team, supporting the growth of the active customer base • Ensure business decisions and internal models are grounded in accurate data • Build an understanding of Brazilian Open Finance data through organization, testing, and advanced data processing • Enhance Open Finance data pipelines, transforming raw information into features for LINA’s products • Work on credit risk modeling, transaction categorization, and language model projects • Continuously improve data quality and internal processes • Develop and maintain financial transaction categorization pipelines • Build features derived from Open Finance data for products and internal models • Prepare features and pipelines for modeling initiatives • Collaborate with the data squad to prioritize and resolve requests • Document pipeline transformations, business rules, and technical decisions • Monitor the health and performance of production pipelines and propose continuous improvements • Generate insights, models, and metrics for clients

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, Economics, or a related field • Hands-on experience with data quality maintenance and improvement processes • Experience building and maintaining data transformation pipelines in production environments • Experience collaborating within a multidisciplinary data team, with direct interaction with business and/or modeling teams • Advanced SQL • Python • dbt or an equivalent data transformation tool • Git/version control • Strong attention to detail and rigor in data verification • Proactive approach to identifying and proposing improvements before they become problems • Ability to collaborate daily with diverse teams and on varied topics while staying focused on delivery • Curiosity and a genuine interest in learning new domains, with the ability to work effectively at the intersection of data engineering and data science • Strong organizational skills and autonomy in managing multiple workstreams • Preferred: experience improving data quality in production environments • Preferred: experience with statistical modeling and machine learning applied to different domains, including credit, categorization, and NLP • Preferred: experience with data testing, such as dbt tests, Great Expectations, or an equivalent tool • Preferred: familiarity with MLflow or an equivalent experiment tracking tool • Preferred: experience working with Open Finance data, including statements, bills, cards, and consent data • Preferred: experience with a modern analytics stack, including pipeline orchestration and columnar data warehouses

🏖️ Benefits

• Food and Meal Allowance • Education Allowance • SulAmérica Health Insurance (Especial 100 plan) • TotalPass • Birthday Month Day Off • 100% remote

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