Senior Data Engineer - MDM, Cloud Data & Analytics

ERNI

Mandaluyong

Hybrid

PHP 1,800,000 - 2,400,000

Full time

14 days+

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Job summary

ERNI, a leading software development company with a global footprint, seeks a Senior Data Engineer for an international, remote role based in Manila alignment. You will design and implement enterprise MD M data and cloud-based data platforms, collaborate with cross-functional teams, and deliver analytics-ready data pipelines for global clients.

The role emphasizes Java, MDM, cloud data solutions, and BI tooling, with a 1-year project scope and Manila-time collaboration expectations.

Qualifications

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.
Proficient in Python, PySpark, and SQL.
Strong knowledge of data modeling, data warehousing, and Kimball methodology.
Experience with relational databases such as SQL Server, Oracle, or PostgreSQL.

Responsibilities

Design, develop, and maintain enterprise 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 (IaC) and automation practices.
Transform raw data into analytics-ready datasets.
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 KPIs and visualizations.
Improve reporting performance, usability, and data reliability.
Design, develop, and maintain enterprise MDM solutions (MDM section).
Develop MDM applications using Java and modern enterprise technologies (MDM section).
Build and maintain Master Data and Reference Data APIs (MDM section).
Ensure data quality, governance, integrity, and consistency (MDM section).
Collaborate with stakeholders to define data standards and processes (MDM section).
Design and implement scalable cloud-based data platforms (MDM section).
Develop secure and reliable batch and near-real-time data pipelines (MDM section).
Monitor and troubleshoot platform performance and reliability (MDM section).
Build and optimize data integration and processing workflows (MDM section).
Transform raw data into trusted, analytics-ready datasets (MDM section).
Develop interactive Power BI dashboards and reports (MDM section).
Translate business requirements into meaningful KPIs and visualizations (MDM section).
Improve reporting performance, usability, and data reliability (MDM section).
Create high-level and detailed technical solution designs (Technical Leadership).
Review architecture, code, data models, pipelines, APIs, and dashboards (Technical Leadership).
Mentor team members and promote engineering best practices (Technical Leadership).