Key Responsibilities
- Design, develop, and optimize big data solutions using Cloudera Data Platform.
- Design and architect data virtualization solutions using Denodo Platform.
- Define best practices for data modeling, data governance, metadata management, and data security .
- Implement data modeling techniques to enhance data structure and performance.
- Develop and maintain data pipelines to support business intelligence and analytics needs.
- Collaborate with business stakeholders, data engineers, and BI teams to understand requirements and design scalable, high-performing data solutions.
- Collaborate with cross-functional teams to improve data processing and analytics workflows.
- Integrate diverse data sources (cloud, on-prem, relational, APIs, big data platforms, etc.) into a unified data layer.
- Provide technical leadership on Denodo & Cloudera Data Platform deployment, configuration, upgrades, and troubleshooting.
- Work closely with enterprise architects to align data virtualization strategy with overall enterprise data architecture.
- Create and maintain technical documentation for architecture, design, and operational procedures.
- Implement product demos and pilots to showcase Data Virtualization in enterprise scenarios, cloud deployments, and Big Data projects.
- Interpret client needs, assess the full requirements, and identify suitable solutions.
- Build simulated products in test labs to validate the design and solution.
- Work on detailed projects integrating multiple technologies across multiple disciplines as part of a team.
- Work on-site or remotely to diagnose and resolve both emergency and problems related to availability, performance, connectivity, and overall functionality.
- Other work-related duties as assigned.
Qualifications & Experience
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- +6 years of experience in Big Data Technologies, Public Cloud platforms, Data Architecture, Data Virtualization, Data Modeling, Data Warehousing, and Data Integration concepts.
- Experience in Denodo Platform and Cloudera Data Platform (CDP).
- Proficiency in SQL, data modeling, data virtualization, and API-based integration, and scripting languages, especially Python.
- Good knowledge of software development and architectural patterns.
- Technical skills in Java development, JDBC, XML, Web Service related APIs, and version control systems (e.g. SVN, git).
- Experience in Windows & Linux (and UNIX) operating systems in server environments.
- Experience with cloud platforms(AWS, Azure, GCP...)and hybrid data architectures.
- Experience in building and optimizing data pipelines, including ETL, ELT, change data capture (CDC) processes ,data lakes, data warehouses, and BI/reporting tools.
- Expertise in performance tuning, caching strategies, and query optimization.
- Strong understanding of data governance, metadata management, and security practices.
- Proficiency in troubleshooting big data processing issues.
- Strong analytical and problem-solving skills.
- Excellent written/verbal communication skills are essential for interaction with clients, making presentations, attending meetings, and writing technical documentation.
