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ePERFORMAX Contact Centers Corporation is seeking an early-career Data Engineer to join our hybrid team in the Philippines. You will work with business specialists to gather requirements, develop and automate standardized Power BI reports, and craft complex SQL queries to ensure accurate data insights.
The role emphasizes Azure cloud skills (Data Factory, Databricks, Synapse) and experience with JSON data sources, SSIS/SSRS, and data modeling.
This role is ideal for early-career Business Intelligence professional and offers a competitive package aligned with the scope, learning opportunities, and hybrid setup.
Best suited for candidates prioritizing:
Hybrid work
Stability
Skill depth over title
Work with business specialists to gather project requirements
Conduct appropriate data analysis during the report development
Create and automate standardized reports using SQL
Write relational and complex queries that will satisfy the report specifications
Validate report to ensure data accuracy
Create guidelines and documentations to help end users run the report
Must have at least 1 year experience using the Power BI Tool (data Pipelines, creating data flows, data modeling, use of DAX, assigning security access and creating reports (data visualization).
Must have at least 1 year experience using SSIS, SSRS.
Skilled on SQL from simple to complex queries.
Experience with JSON format data sources and parsing.
Bachelor's Degree in Computer Science, Engineering, or related field.
Proven experience as a Data Engineer with a focus on Azure cloud platform, Fabric, etc.
Experience with data modeling, schema design, and database optimization.
Proficient in Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Database, and Azure Synapse Analytics.
Proficiency in Python, R or other programming languages for data manipulation and transformation, is a plus
Azure certifications such as Azure Data Engineer Associate is a plus.
Experience with machine learning and AI is a plus.
Ability to work independently and in a team environment.
Excellent communication and collaboration skills.
Must be willing to work flexible schedules (including weekends and holidays)