Data Engineering Coordinator

Description

Job Summary: A professional responsible for end-to-end data management—from data generation through to democratization in production environments—defining architectures and collaborating with stakeholders. Key Highlights: 1. End-to-end data lifecycle management. 2. Definition and implementation of data architectures. 3. Collaboration with teams to develop 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, Data Warehouse, 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 preferred); * Azure (sufficient familiarity for migration tasks involving 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 origin through ETL pipelines, cataloging, enabling, and democratizing data across production environments for business units; * Understand data best practices—including Governance, Modeling, Quality, Security and Privacy, Integration, Accessibility, Analytics, Backup and Recovery; * Define the technical architecture/infrastructure supporting the organization’s data needs—including storage, integrations, and analytics platforms; * Co-design solutions with stakeholders, 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 while balancing competing demands from various stakeholders; * Define strategic roadmaps, manage dependencies, and oversee roadmap execution; 2512060202191906970