Associate - Microsoft Data & AI (Power BI) | Hybrid - Makati
šµš Philippines
Python
AWS
GCP
Azure
Machine Learning
Design
Devops
SQL
Associate - Microsoft Data & AI (Power BI) | Hybrid - Makati
from šµš Philippines
Roles & responsibilitiesĀ
- Support and execute endātoāend data migration activities ensuring adherence to defined migration strategies, timelines, and quality standards.Ā
- Design, develop, and maintain ETL workflows usingĀ CloverDXĀ or equivalent ETL tools, such as Informatica, SSIS or Alteryx, following established architectural guidelines and best practices.
- Analyze source and target systems to understand data structures and contribute to the definition of data mapping and transformation logic.
Educational qualificationsĀ
- A bachelorās or masterās degree in Engineering, Computer Science, or equivalent
- Certification in ETL tools or SAP data migration frameworks.
Ā
Work experience
- 3-6 years of professional experience in ETL development and data migration projects.
- Strong experience working with SQL and ETL tools such asĀ CloverDXĀ or similar tools (Informatica, Talend, SSIS, Alteryx).
- Informatica, Talend, SSIS, Alteryx
MandatoryĀ Ā technical & functional skills
- Good to have experience in some ETL tools like Alteryx, Talend,Ā CloverDXĀ and ADF
- Strong proficiency in SQL and scripting languages like Python, Shell
- Solid understanding of data warehousing concepts and dimensional modeling.Ā
- Familiarity with version control, CI/CD and DevOps practices. Strong knowledge of data governance, security and compliance frameworks.
- Excellent problem-solving and communication skills
Preferred technical & functional skillsĀ
- Handsāon experience with ETL/data migration tools such asĀ CloverDX, Informatica, SSIS, Talend, or Alteryx.
- Good working knowledge of SQL for data extraction, validation, reconciliation, and troubleshooting.
- Understanding of data migration concepts, including sourceātoātarget mapping, transformations, and data quality checks.
- Basic familiarity with cloud platforms (AWS, Azure, or GCP) and their data storage.










