AWS Data ETL Engineer

Hammerjack Pty Ltd; Taguig; On-site; PHP 600,000 - 900,000; Full time

Job summary

Hammerjack Pty Ltd is seeking an experienced AWS Data/ETL Engineer to design and implement scalable data pipelines. You will leverage AWS Glue, Python, Snowflake and PySpark to build, optimize and manage ETL processes that ensure data integrity and availability.

You will collaborate with cross-functional teams to understand data requirements, monitor pipelines, and implement governance and quality controls to sustain reliable data services across the organization.

Qualifications

• Experience designing and implementing ETL pipelines with AWS Glue.
• Strong programming skills in Python and PySpark.
• Hands-on experience with Snowflake data warehouse.
• Ability to optimize data workflows and ensure data quality.

Responsibilities

• Design and build ETL processes using AWS Glue.
• Develop and optimize data workflows with Python and PySpark.
• Collaborate with cross-functional teams to meet data requirements.
• Ensure data quality and implement governance best practices.
• Monitor and troubleshoot data pipelines for high availability.

Skills

AWS Glue

Python

Snowflake

PySpark

Job description

AWS Data/ETL Engineer

Job Description:

We are seeking an experienced AWS Data/ETL Engineer skilled in designing and implementing efficient data pipelines. The ideal candidate will have a strong background in AWS Glue, Python, Snowflake and PySpark, and will be responsible for developing, optimizing, and managing ETL processes to ensure data integrity and availability.

Key Responsibilities:

• Design and implement data extraction, transformation, and loading (ETL) processes using AWS Glue.
• Develop and optimize data workflows utilizing Python and PySpark.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Ensure data quality and implement best practices for data governance.
• Monitor and troubleshoot data pipeline issues to ensure high availability.