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Data Engineer (Remote)

Indeed

Company

Job typeFull-time
Workplace typeOnsite
Experience levelNo experience limit
Education levelNo degree limit

Description

Job Summary: We are seeking an Analytics Engineer Specialist to design, build, and maintain data models, ensuring reliable and scalable pipelines for strategic decision-making. Key Highlights: 1. Connection with high-impact international projects 2. First business-vertical specialist with a multinational team 3. Exposure to high-criticality projects in Europe At **GrowBy**, we connect top talent with high-impact international projects. We are currently seeking a highly self-managed **Analytics Engineer Specialist** to join as the key and first specialist in one of our assigned business verticals, collaborating with a multinational team. Job Mission Design, build, and maintain the data model for the new rollout infrastructure. Your goal will be to ensure reliable, scalable, and well-documented pipelines that enable analytics and strategic decision-making for the international business. REQUIREMENTS * University degree or higher vocational training in Systems Engineering, Computer Science, Statistics, or related fields (ICT domain). * Minimum 3 years of experience in Analytics Engineer, Data Engineer, or similar roles. * Proven hands-on experience building and maintaining ETL/ELT pipelines in production environments. * Advanced SQL: complex queries, query optimization, and analytical modeling (T\-SQL, PL\-SQL, or other dialects). * dbt (Data Build Tool): modeling, transformations, testing, and documentation in production environments. * Snowflake or equivalent data warehouse (Databricks, BigQuery): managing analytical workloads and optimizing costs. * Airflow or equivalent orchestrator (Prefect, Luigi): designing and maintaining end\-to\-end workflows. * Solid Python for pipeline development and data processing (Pandas, PySpark). * Git/GitHub or equivalent for version control and team collaboration. * Intermediate English (verbal and written) RESPONSIBILITIES * Build, optimize, and maintain ETL/ELT pipelines in production environments. * Connect the Costa Rica rollout production environment via Airbyte, S3, and Snowflake. * Design, develop, and maintain end\-to\-end workflows using Airflow or equivalent orchestrators. * Model, transform, test, and document analytical data using dbt. * Design the Costa Rica rollout data model following TUI Musement best practices. * Optimize analytical workloads, costs, and performance in Snowflake. * Structure high-level requirements and break them down into executable technical tasks. * Apply and propose standards for testing, technical documentation, and peer code review. * Participate in alignment sessions with the international Data Engineers team. BENEFITS * **Work modality:** 100% remote, allowing you to work from the comfort of your home. * **Opportunity type:** International, with exposure to high-criticality projects in Europe. * **Contract duration:** Minimum 6-month contract, with high likelihood of extension based on performance and project needs. * **Working hours:** Monday to Friday (full-time). * **Start date:** Immediate onboarding. Employment type: Full-time Application question(s): * How many years of experience do you have in this role? * What is your level of English (written and verbal)? * Which data warehouse tools have you worked with? * What is your salary expectation? * Have you designed and maintained end\-to\-end workflows with Airflow? Work location: Remote

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Posted by

María García

Indeed · HR

Location

María García

Indeed · HR

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