Data Engineering Coordinator

Description

Job Summary: Responsible for data management—from data generation to democratization—defining architectures and understanding best practices to support organizational needs. Key Highlights: 1. End-to-end management of the data lifecycle in production environments 2. Definition of data architecture and technical infrastructure 3. Co-design of data solutions and strategic data roadmaps Description: Education: * Computer Science, Software Engineering, Information Systems, or related fields. Technical Skills: * Knowledge of Data Architecture Patterns (e.g., Data Mesh, Data Fabric, Data Lake, DW, ETL/ELT, streaming); * Experience with Data Governance, Data Quality, and cloud architecture best practices; * AWS (S3, Glue, Lake Formation, Studio, Lambda, Redshift, IAM, ECS/EKS desirable); * Azure (sufficient familiarity for migration: Data Factory, ADLS); * Python, advanced SQL; * CI/CD tools (GitLab, Azure DevOps, or equivalent); * DataOps / Observability (CloudWatch, Datadog, etc.); * Experience with legacy data platforms, such as SQL Server; * Experience with analytics platforms, such as Tableau, Power BI, and QuickSight. Preferred Qualifications: * Prior experience in data platform migrations; * AWS certifications (Solutions Architect, Data Engineer, SysOps); * Hands-on experience with Databricks / Spark; * FinOps knowledge—experience optimizing cloud environment costs. Key Responsibilities: * Responsible for managing data from its point of generation through ETL pipelines, cataloging, enabling, and democratizing data across business areas in production environments; * Understand data best practices—including Governance, Modeling, Quality, Security and Privacy, Integration, Accessibility, Analysis, Backup, and Recovery; * Define the architecture/technical infrastructure supporting the organization’s data needs—including storage, integrations, and analytics platforms; * Collaborate with stakeholders to co-design data solutions, adhering to defined data architectural standards; * Work with technical and business teams to understand their data needs and priorities, and effectively communicate the value of data initiatives; prioritize tasks and define roadmaps, balancing competing demands from various stakeholders; * Define strategic roadmaps, manage dependencies, and oversee roadmap execution; 2512060202191906970