Associate - - Microsoft Data & AI (ETL) | Hybrid - Makati
🇵🇠Philippines
Python
AWS
GCP
Azure
Machine Learning
Design
Devops
SQL
Associate - - Microsoft Data & AI (ETL) | Hybrid - Makati
from 🇵🇠Philippines
Roles & responsibilitiesÂ
- Support and execute end‑to‑end data migration activities ensuring adherence to defined migration strategies, timelines, and quality standards.Â
- Design, develop, and maintain ETL workflows using CloverDX 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.
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Educational qualificationsÂ
- A bachelor’s or master’s degree in Engineering, Computer Science, or equivalent
- Certification in ETL tools or SAP data migration frameworks.
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Work experience
- 3-6 years of professional experience in ETL development and data migration projects.
- Strong experience working with SQL and ETL tools such as CloverDX or similar tools (Informatica, Talend, SSIS, Alteryx).
- Informatica, Talend, SSIS, Alteryx
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Mandatory  technical & functional skills
- Good to have experience in some ETL tools like Alteryx, Talend, CloverDX and ADF
- Strong proficiency in SQL and scripting languages like Python, Shell
- Solid understanding of data warehousing concepts and dimensional modeling.Â
- Familiarity with version control, CI/CD and DevOps practices. Strong knowledge of data governance, security and compliance frameworks.
- Excellent problem-solving and communication skills
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Preferred technical & functional skillsÂ
- Hands‑on experience with ETL/data migration tools such as CloverDX, Informatica, SSIS, Talend, or Alteryx.
- Good working knowledge of SQL for data extraction, validation, reconciliation, and troubleshooting.
- Understanding of data migration concepts, including source‑to‑target mapping, transformations, and data quality checks.
- Basic familiarity with cloud platforms (AWS, Azure, or GCP) and their data storage.