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Eclaro Business Solutions, Inc. is seeking a Data Engineer in our Data Services team in Metro Manila. This entry‑level role offers hands‑on experience building data pipelines, supporting MDM, and delivering trusted data across the enterprise.
Fresh graduates or early‑career professionals will gain exposure to Databricks, Azure/AWS, Python, Apache Spark, and SQL while making real business impact in a collaborative, Agile environment.
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.
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.
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.
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.
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.