Data Engineer
# Data Engineer **Releady** · Bogotá, Cundinamarca · `On-site` 🕒 **Статус:** *Опубликовано: 6 дней назад* · *Источник: Indeed* --- ### About the Role OVERVIEW Releady is partnering with a leading furniture and home furnishings retail company to hire a Data Engineer. This organization is the top-selling furniture brand in North America and is undergoing an AI-first technology transformation, modernizing its data platform to support advanced analytics, machine learning, and business intelligence across a growing retail footprint. The role sits within a Technology and AI Center of Excellence spanning cloud, data, security, and automation. In this role, you will design, build, and maintain scalable, high-performance data pipelines and infrastructure that power the company's analytics and machine learning initiatives. The work operates primarily within a Microsoft Fabric and Azure ecosystem, driven by Python and PySpark. You will collaborate closely with AI/ML engineers, BI teams, developers, and business stakeholders to ensure data is reliable, accessible, and optimized for downstream use, while contributing directly to the re-architecture and modernization of the company's data platform. - Employment Type: Full-Time Contract - Location: Remote - Compensation: $2,600 USD / month - Schedule: Monday-Friday, 40 hours/week; occasional after-hours or weekend work to support deployments. RESPONSIBILITIES Data Pipeline Development & Management • Design, build, and optimize ETL/ELT notebooks and pipelines for ingestion, transformation, and delivery of business-critical data. • Implement medallion architecture (bronze, silver, and gold layers) to standardize data for downstream consumption. • Automate data collection, processing, and reporting workflows to improve efficiency and reduce manual effort. • Ensure high-quality, reliable data through validation, monitoring, troubleshooting, and performance tuning. • Integrate APIs, data flows, and orchestration processes across the Microsoft ecosystem. Collaboration & Analytics Enablement • Partner with AI/ML engineers, BI teams, developers, and business stakeholders to structure data for analytics, forecasting, and ML initiatives. • Contribute to the re-architecture and modernization of the company's data platform for scalability and business alignment. • Maintain clear documentation of data models, pipelines, and integrations for transparency and knowledge sharing. Data Quality & Governance • Implement systems to monitor data quality, ensure data integrity, and enforce security standards. • Audit, track, and improve data processes to comply with organizational standards and regulatory requirements. • Support version control, Agile workflows, and best practices using Git, Jira, and Confluence. QUALIFICATIONS - Bachelor's degree in Computer Science, Engineering, or a related field. • 5+ years of experience as a Data Engineer or in backend or data-intensive systems. • Expertise in ETL/ELT design, data integration, and pipeline orchestration. • Proficiency in SQL and Python for data processing and automation. • Hands-on experience with the Microsoft stack: Fabric, Azure, Python, PySpark notebooks, Data Factory, Data Lakes, and SQL Server. • Familiarity with medallion architecture (bronze, silver, and gold) and modern data warehouse practices. • Knowledge of data modeling, version control (Git), and Agile tools (Jira, Confluence). • Preferred: experience with AI/ML applications, SQL database administration, and a strong statistical foundation to support data-driven modeling.
Наблюдалась 2026-10-15, впервые 2026-10-08, источник — Indeed.