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Master Data Administrator

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Onsite

Master Data Administrator

Eclaro Business Solutions, Inc

Master Data Administrator

Skills

Google Cloud PlatformSQL QueriesData EngineeringTableauPythonData ScienceJavaDatabricksGitData AnalysisScalaAWSPower BIAzure

19 days ago

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Important information


Contract type:

Permanent

Location:

Manila, Metro Manila, Philippines

Work mode:

Onsite

Published on:

30 September 2026

What they need


Why Join Us?

Kickstart your data engineering career with us! As a Data Engineer in our Data Services team, you'll play a vital role in building data pipelines, supporting Master Data Management (MDM), and delivering trusted data across our enterprise.

This is an exceptional opportunity for fresh graduates and early-career professionals to gain hands-on experience with modern cloud platforms like Databricks, Azure/AWS, Python, Apache Spark, and SQL while driving real business impact.

What You’ll Do

  • Data Engineering & Integration: Assist in building, testing, and maintaining ETL/ELT pipelines and troubleshooting data processing jobs.
  • Master Data Management (MDM) & Quality: Support data profiling, validation, cleansing, and governance across key business domains.
  • Data Modeling & Analytics: Help create logical/physical data models and document data flows for data warehousing and BI solutions.
  • Cloud & Platform Support: Work directly within Databricks and cloud environments using SQL, Python, and Delta Lake.
  • Agile Collaboration: Partner with senior engineers, data architects, and analytics teams in an Agile development setup.

Who We’re Looking For

Must-Haves:

  • Education: Bachelor’s degree in Computer Science, Data Science, IT, Computer/Industrial Engineering, Math, Statistics, or a related technical discipline.
  • Experience: Fresh graduates are encouraged to apply! (Academic projects, capstone projects, or internship experience in databases/ETL is a strong advantage).
  • Core Technical Knowledge: Basic foundation in SQL and relational database concepts.
  • Mindset: Strong analytical thinking, high attention to detail, and a quick learner eager to master new technologies.

Nice-to-Haves (Bonus Points!):

  • Exposure to Python, Java, or Scala.
  • Hands-on exposure or coursework in Databricks, Apache Spark, or cloud environments (Azure / AWS / GCP).
  • Understanding of basic Data Warehousing, MDM, or Data Quality concepts.
  • Familiarity with Git (version control) or BI tools like Power BI / Tableau.

What We Offer

  • Great entry-level growth path with direct mentorship from senior architects and engineers.
  • Flexible Hybrid work model.
  • Direct exposure to enterprise-grade cloud technologies and data management platforms.
  • Competitive salary & comprehensive benefits package.

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