Ascendion
Jr. Data Engineer
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₱420,000 – ₱540,000 / year
Location:
Metro Manila, Philippines
Work mode:
Hybrid
Published on:
1 September 2026
What they need
Junior Data Engineer
Experience Required: 1–3 Years
Work Setup: Hybrid
Location: BGC, Taguig
Shift: Dayshift
Hiring Priority: ASAP
Hiring Process: Fully Virtual
Job Overview
We are looking for a Junior Data Engineer who has a strong foundation in Python and SQL and is interested in building and supporting data solutions. Experience with cloud platforms such as AWS or Azure is a strong advantage, while exposure to other data engineering tools and practices is also highly valued.
This is a great opportunity for someone looking to strengthen their data engineering skills while working with modern data technologies and cloud-based environments.
Key Responsibilities
- Develop and maintain data pipelines and data processing workflows using Python and SQL.
- Extract, transform, and load data from various sources.
- Write and optimize SQL queries for data processing and analysis.
- Support data integration and migration activities.
- Assist in monitoring, troubleshooting, and improving data pipelines.
- Work with senior data engineers and other technical teams to deliver data solutions.
- Ensure data quality, accuracy, and consistency across data processes.
- Document data workflows, processes, and technical solutions.
- Participate in testing and troubleshooting of data engineering solutions.
Required Skills
- Python – Strong foundational programming skills.
- SQL – Ability to write queries, joins, aggregations, and basic data transformations.
- Understanding of basic data engineering concepts, such as ETL/ELT, data pipelines, data warehouses, and data integration.
- Good analytical and problem-solving skills.
- Willingness to learn and work with cloud-based data technologies.
Nice-to-Have Skills
- Experience with AWS or Microsoft Azure.
- Exposure to cloud data services and storage.
- Experience with ETL/ELT tools.
- Familiarity with data warehouses or data lakes.
- Exposure to Apache Spark, PySpark, Airflow, or similar data engineering technologies.
- Experience with Git/version control.
- Familiarity with APIs and data integration.
- Knowledge of data modeling and database concepts.
- Exposure to CI/CD or DevOps practices.
What We're Looking For
- A junior-level data engineer with solid Python and SQL fundamentals.
- Someone who is eager to learn and grow in data engineering.
- Candidates with cloud exposure are highly preferred but AWS/Azure experience is not mandatory.
- Strong communication, analytical, and problem-solving skills.
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