Data Engineer Hybrid: AWS ETL & Lakehouse

Asticom Technology Inc; Muntinlupa; Hybrid; PHP 600,000 - 1,000,000; Full time

Job summary

Asticom Technology Inc is seeking a data engineer to assist in designing, developing, and maintaining data pipelines and infrastructure using AWS microservices and Talend Studio. The role involves working with data from multiple sources including data warehouses and data lakes.

The candidate will troubleshoot ETL/ELT processes, ensure data accuracy, collaborate with cross-functional teams on data-related needs, security, and insights, and contribute to process improvements and documentation.

Qualifications

• ETL/Integration tools: 2 to 5 years experience with Talend and/or AWS data engineering services.
• Talend experience preferred; strong AWS-native data engineering is acceptable.
• AWS services exposure: experience with services such as AWS Glue, Lambda, S3, Redshift, EMR, RDS, Step Functions, Kinesis, and MWAA/Airflow.
• Programming languages: Proficiency in SQL, Python, Spark, and Java.
• Data platform experience: Experience with S3-based Lakehouse architectures, RDS, and Enterprise Data Warehouse environments.
• Contract Duration: 3 months
• Work Arrangement: Hybrid setup (3 days onsite, 2 days remote)

Responsibilities

• Assist in the design, development, and maintenance of data pipelines and infrastructure using AWS Microservices and/or Talend Studio.
• Work with data from multiple resources, including data warehouses and lakes.
• Troubleshoot and maintain ETL/ELT processes, ensuring data accuracy.
• Collaborate with teams for data-related needs, security protocols, and insights.
• Contribute to data engineering improvements and processes documentation.

Skills

SQL

Python

Spark

Java

Tools

Talend Studio

AWS data services

MWAA/Airflow

Job description

Asticom Technology Inc is seeking a data engineer to assist in designing, developing, and maintaining data pipelines and infrastructure using AWS microservices and Talend Studio. The role involves working with data from multiple sources including data warehouses and data lakes.

The candidate will troubleshoot ETL/ELT processes, ensure data accuracy, collaborate with cross-functional teams on data-related needs, security, and insights, and contribute to process improvements and documentation.