AWS Data Engineer: Python/SQL Pipelines (Hybrid, 1–4 yrs)

Ascendion

Taguig

Hybrid

PHP 600,000 - 900,000

Full time

5 days ago

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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.