Jr. Data Engineer
Ascendion · Philippines ·
- Seniority
- Junior
- Category
- Data engineering
- Experience
- 1+ years
Ascendion · Philippines ·
Elsevier · London Wall
EY · Kuala Lumpur, Malaysia
InTalent Asia
Dataeconomy · Hyderabad, India
Junior Data Engineer (1-3 yrs) building and maintaining data pipelines, ETL/ELT workflows, and SQL processing in a hybrid dayshift role based in BGC, Taguig. Core stack is Python and SQL, with AWS/Azure cloud experience a plus but not mandatory.
Experience Required: 1–3 Years
Work Setup: Hybrid
Location: BGC, Taguig
Shift: Dayshift
Hiring Priority: ASAP
Hiring Process: Fully Virtual
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.
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.
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.
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.
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.
Coherent Solutions · Moldova