Jr - Mid AWS Data Engineer

Ascendion; Taguig; Hybrid; PHP 600,000 - 900,000; Full time

Job summary

Ascendion is seeking a Junior to Mid-Level Data Engineer in Metro Manila with 1–4 years of experience to build, optimize, and maintain data pipelines. Proficiency in Python, SQL, and AWS is essential. The role focuses on data integration, quality, and availability for business analytics.

The position is hybrid (2–3 days onsite per week) in BGC, Taguig City, with dayshift hours and online interviews as part of the process.

Qualifications

• 1–4 years of experience in data engineering, building and maintaining data pipelines.
• Strong Python and SQL skills for data processing, transformation, and querying.
• Hands-on experience with AWS cloud services in a data engineering environment.
• Experience with data integration, ingestion, and ETL/ELT processes.
• Understanding of data warehousing concepts and data pipeline architecture.

Responsibilities

• Design, develop, maintain, and optimize data pipelines for ingestion, transformation, and processing.
• Develop and maintain data integration workflows to consolidate data from various sources.
• Use Python and SQL to process, transform, validate, and analyze data.
• Utilize AWS cloud services to support data engineering workflows and pipeline operations.
• Perform ETL/ELT to support data integration and warehousing.
• Monitor pipeline performance, troubleshoot issues, and implement solutions.
• Implement data validation and quality checks to maintain data accuracy.
• Collaborate with data engineers, analysts, and stakeholders to deliver solutions.
• Maintain technical documentation for data pipelines and workflows.
• Follow coding standards and data governance guidelines.

Skills

Python

SQL

AWS

Data pipelines

ETL/ELT

Data integration

Airflow

Tools

Apache Airflow

AWS services

Job description

Job description:

Junior to Mid-Level Data Engineer

Experience Level: 1–4 Years
Work Setup: Hybrid – BGC, Taguig City (2–3 days onsite per week)
Work Schedule: Dayshift
Hiring Process: Online interviews

Job Description

We are looking for a Junior to Mid-Level Data Engineer with 1–4 years of professional experience in data engineering, particularly in building, maintaining, and optimizing data pipelines. The ideal candidate should have a solid foundation in Python, SQL, and AWS cloud services, with experience in data integration and processing from various sources.

The successful candidate will work with the team to develop reliable data pipelines, support data integration initiatives, and ensure data quality, accuracy, and availability for business and analytical needs.

Responsibilities

• Design, develop, maintain, and optimize data pipelines for data ingestion, transformation, and processing.

• Develop and maintain data integration workflows to consolidate data from various sources.

• Use Python and SQL to process, transform, validate, and analyze data.

• Utilize AWS cloud services to support data engineering workflows and pipeline operations.

• Perform data extraction, transformation, and loading (ETL/ELT) to support data integration and warehousing.

• Monitor pipeline performance, troubleshoot issues, and implement solutions to ensure data reliability.

• Implement data validation and quality checks to maintain data accuracy and consistency.

• Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver effective solutions.

• Maintain technical documentation for data pipelines, integration processes, and workflows.

• Follow established coding standards, development practices, and data governance guidelines.

Qualifications

• 1–4 years of professional experience in data engineering, particularly in building and maintaining data pipelines.

• Proficiency in Python and SQL for data processing, transformation, and querying.

• Hands-on experience with AWS cloud services in a data engineering environment.

• Experience with data integration, ingestion, and ETL/ELT processes.

• Understanding of data warehousing concepts and data pipeline architecture.

• Familiarity with data pipeline orchestration and scheduling tools, such as Apache Airflow, is an advantage.

• Strong analytical and problem-solving skills, with attention to data quality and accuracy.

• Ability to work collaboratively with technical teams and business stakeholders.

• Willingness to work on a hybrid setup in BGC, Taguig City, 2–3 days onsite per week, on a dayshift schedule.

Hiring Process

• The recruitment and interview process will be conducted entirely online.