Data Engineering Specialist (Databricks) | Manila/Cebu
Job Profile Summary
The Junior Data Engineer supports the design, development, and maintenance of data solutions that enable reliable reporting, analytics, and business insights. Working under the guidance of senior data engineers, this role contributes to building and maintaining data pipelines, data models, and quality checks while developing hands-on experience with modern data engineering tools and practices.
This role is ideal for candidates early in their data engineering career who have a solid technical foundation, a strong learning mindset, and an interest in building scalable, well-governed data solutions in a cloud environment.
Primary Responsibilities- Assist in the development and maintenance of data pipelines and ETL/ELT processes under the guidance of senior engineers.
- Support the ingestion, transformation, and loading of data into data warehouses or analytics platforms.
- Help maintain data models, schemas, and documentation to ensure data is structured, consistent, and accessible.
- Perform basic data quality checks and validations to help ensure data accuracy and reliability.
- Collaborate with senior data engineers, analysts, and stakeholders to understand data requirements and implementation approaches.
- Monitor data pipeline executions and assist in resolving routine data issues or failures.
- Follow established data engineering standards, governance practices, and security guidelines.
- Participate in code reviews, testing activities, and documentation efforts.
- Actively learn new tools, technologies, and best practices related to data engineering and analytics.
Required Education
Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field
(or equivalent combination of education and relevant experience)
Required Experience
1–3 years of relevant experience in data engineering, analytics engineering, software development, or related technical roles
Internship, graduate program, or academic project experience in data engineering or analytics is acceptable
Required / Foundational Skills- Basic proficiency in Python and SQL
- Exposure to scripting for data processing or automation
- Understanding of relational database concepts (tables, keys, joins)
- Basic knowledge of data modeling concepts (e.g., star schema, normalization)
- Introductory experience or coursework involving ETL/ELT processes or data pipelines
- Exposure to tools such as SQL-based pipelines, notebooks, or low-code ETL/ELT platforms is a plus
- Familiarity with cloud platforms, particularly Azure
- Awareness of big data or analytics tools (Spark, Databricks, Hadoop) is advantageous but not mandatory
- Willingness to learn and take feedback
- Good communication and collaboration skills
- Problem-solving mindset with attention to detail
Preferred Qualifications / Exposure
Experience working with:
- Data warehouses or lakehouse platforms (Databricks, Microsoft Fabric)
- Basic data quality or validation checks
- Version control tools (example: GitHub, Azure DevOps)