Data Engineer – MDM, Cloud Data, Analytics

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ERNI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

Consulting

ERNI is a Swiss software engineering company established in 1994 that focuses on boosting people and businesses through the innovation of software-based products and services. With a global presence and more than 800 employees across 18 locations, ERNI emphasizes a Swiss mindset characterized by consensus-building, pragmatism, reliability, and transparency in its approach to method-based consulting and technology services. The company specializes in various areas, including digital business transformation, agile methodologies, machine learning, virtual reality, and managed services, catering to the unique needs of local clients while supporting international corporations and SMEs.

📋 Description

• Design, develop, and maintain enterprise Master Data Management (MDM) solutions • Develop MDM applications using Java and modern enterprise technologies • Build and maintain Master Data and Reference Data APIs • Ensure data quality, governance, integrity, and consistency • Collaborate with business stakeholders to define data standards and processes • Design and implement scalable cloud-based data platforms • Develop secure and reliable batch and near-real-time data pipelines • Build and optimize data integration and processing workflows • Monitor and troubleshoot platform performance and reliability • Implement Infrastructure as Code and automation practices • Transform raw data into trusted, analytics-ready datasets • Develop dimensional data models using Kimball methodologies • Build reusable data products for analytics and reporting • Implement data quality and validation frameworks • Develop interactive Power BI dashboards and reports • Translate business requirements into meaningful KPIs and visualizations • Improve reporting performance, usability, and data reliability • Create high-level and detailed technical solution designs • Review architecture, code, data models, pipelines, APIs, and dashboards • Mentor team members and promote engineering best practices • Support Agile ceremonies and continuous improvement initiatives

🎯 Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field • 5+ years of experience in Data Engineering, Software Engineering, Analytics Engineering, or related disciplines • 5+ years of experience designing and developing enterprise-scale integrated solutions • Strong hands-on experience in Java application development • Experience with Master Data Management (MDM) platforms • Strong experience designing and implementing cloud-based data solutions • Hands-on experience developing scalable data pipelines using Python, PySpark, and SQL • Strong knowledge of data modeling, data warehousing, and dimensional modeling/Kimball methodology • Experience with relational databases such as SQL Server, Oracle, or PostgreSQL • Experience with Databricks, Azure Data Platform Services, data lakehouse architectures, Power BI, Tableau, Microsoft Azure and/or AWS, Terraform, Azure DevOps, CI/CD pipelines, Infrastructure as Code, TypeScript, REST APIs, microservices architecture, Agile/Scrum/Kanban, DevOps practices, and secure software development practices is highly desirable • Experience with enterprise MDM platforms, particularly TIBCO EBX, is a nice-to-have • Azure, Databricks, Scrum, DevOps, or Secure Coding certifications are a nice-to-have • Experience working in international and multicultural environments is a nice-to-have • Strong stakeholder management and consulting skills • Experience collaborating with senior stakeholders and business leaders • Opportunity is open exclusively to candidates based outside the Philippines • Must align with Manila business hours and the client's business calendar and holidays

🏖️ Benefits

• International exposure through work with global clients on cutting-edge projects • Inclusive, collaborative, and diverse work environment • Continuous learning and professional growth opportunities • Challenging software projects across MedTech, Industry, Finance, and Transportation • Supportive team environment • Recognition for efforts and opportunities for promotion • Open communication and transparency • Fully remote work setup