
ETL Data Engineer/Analyst
6 days ago
Overview
Be among the first 25 applicants. Discover your 100% YOU with MicroSourcing
Position: ETL Analyst
Location: Eastwood Libis, Quezon City
Work setup & shift: Hybrid | Nightshift (8pm-5am PH)
Why join MicroSourcing- Competitive Rewards: Enjoy above-market compensation, healthcare coverage on day one, plus one or more dependents, paid time-off with cash conversion, group life insurance, and performance bonuses
- A Collaborative Spirit: Contribute to a positive and engaging work environment by participating in company-sponsored events and activities.
- Work-Life Harmony: Enjoy flexible work arrangements that support your life balance.
- Career Growth: Take advantage of opportunities for continuous learning and career advancement
- Inclusive Teamwork: Be part of a team that celebrates diversity and fosters an inclusive culture.
Design, build, and maintain scalable ETL/ELT data pipelines that extract, transform, and load data from multiple sources into internal systems for use by client-facing applications and operational reporting. This role focuses entirely on backend data engineering and integration — not on dashboards or data visualization.
- Data Pipeline Implementation and Support
- Data Transformation
- Create data transformations according to business rules and client-specific requirements
- Support data enrichment workflows
- Implement automation for recurring data loads and transformations across customers
- Monitor and facilitate data refresh cycles, including scheduling, orchestration, and validation
- Own client refresh lifecycle, ensuring timely, complete, and accurate data updates
- Continuously improve pipeline efficiency, reducing refresh times and resource usage
- Identify bottlenecks and refactor logic or infrastructure to scale with growing data volumes
- Validate data post-ingestion and transformation to ensure schema alignment, completeness, and business logic integrity
- Collaborate with the Data Quality and Delivery teams to resolve ingestion-related data quality issues
- Build checks into the ETL workflows to proactively detect and flag anomalies
Technical quantitative BS degree, combined with modelling work experience or training, with working knowledge of modelling (regression, machine learning, feature selection, validation), data ETL (extracting, preparing, munging, validating) and building analytics workflows.
Essential Skills - Analytics- 2+ years of hands-on experience developing automated data workflows in Alteryx or similar ETL tools (e.g., Talend, SSIS, Informatica)
- Strong SQL experience, especially in writing complex joins, data transformations, and quality checks
- Candidates should understand data structures and logic but are not expected to create visualizations or dashboards
- Working knowledge of programming languages such as SQL (R and Python are beneficial)
- Develop custom workflows using Alteryx to access Snowflake database, create repeatable processes for other team members to execute
- Data Collection & Structured Analysis - develops logical approach to data collection and ensures data collection meets the timeline
- Identifies gaps in data, and/or anomalies and seeks clarification — surfaces concerns or issues immediately with recommendations
This is a backend ETL role. Candidates focused on reporting, dashboarding, or visualization tools (e.g., Power BI, Tableau) are not a fit for this position.
About MicroSourcingWith over 9,000 professionals across 13 delivery centers, MicroSourcing is the pioneer and largest offshore provider of managed services in the Philippines.
Our commitment to 100% YOU: MicroSourcing firmly believes that our company's strength lies in our people's diversity and talent. We foster an inclusive culture that embraces individuals of all races, genders, ethnicities, abilities, and backgrounds. We celebrate YOU and your 100%
For more information, visit
Job Details- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Information Technology
- Industries: Outsourcing and Offshoring Consulting
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