Python Data Engineer

Ascendion; Makati; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Ascendion in Makati, Philippines is seeking a Data Engineer to design, develop, and optimize robust ETL/ELT data pipelines and data models. You will integrate data from various sources and ensure pipeline reliability and data quality.

Collaborate with cross-functional teams to meet business data requirements, automate workflows, and document architecture and engineering practices.

Qualifications

• Bachelor's degree in CS/IT/Data Engineering or related field (or equivalent experience).
• Minimum 3 years of experience as Data Engineer versed with building ETL/ELT pipelines.
• Strong proficiency in SQL and Python.
• Hands-on experience with cloud platforms and data warehouse technologies (Snowflake, Redshift, BigQuery, Synapse).

Responsibilities

• Design, develop, and maintain robust ETL/ELT data pipelines.
• Build and optimize data warehouses, data lakes, and data models.

Skills

SQL

Python

Collaboration

Education

Bachelor's degree in Computer Science/Information Technology/Data Engineering

Tools

AWS

Azure

GCP

Snowflake

Redshift

BigQuery

Synapse

Job description

Responsibility:

• Design, develop, and maintain robust ETL/ELT data pipelines.


• Build and optimize data warehouses, data lakes, and data models.


• Integrate data from multiple internal and external sources.


• Monitor, troubleshoot, and improve data pipeline performance and reliability.


• Ensure data quality, integrity, security, and governance standards are met.


• Collaborate with cross-functional teams to understand business data requirements.


• Automate data workflows and improve operational efficiency.


• Document data architecture, workflows, and engineering best practices.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field (or equivalent experience).


• Minimum 3 years of experience as Data Engineer versed with building ETL/ELT pipelines.


• Strong proficiency in SQL and Python.

• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.


• Experience with data warehouse technologies such as Snowflake, Amazon Redshift, BigQuery, or Azure Synapse.

• Excellent communication and collaboration abilities.