Data Engineer

InnovaThink Corporation; Muntinlupa; Hybrid; PHP 600,000 - 1,200,000; Full time

Job summary

InnovaThink Corporation in the Philippines is seeking a Data Engineer to design, develop, and maintain data pipelines and data infrastructure using AWS data services and Talend Studio. The role handles data from multiple sources and supports reliable, secure, and scalable data processing.

You will design and optimize ETL/ELT processes, work with data lakes, data warehouses, and relational databases, and collaborate with cross-functional teams to meet data requirements and security standards.

Qualifications

• 2–5 years of experience in data engineering, ETL, or data integration.
• Proficiency with SQL, Python, Spark, and Java.
• Experience with Talend Studio and/or AWS data engineering services.
• Strong experience with AWS-native data services is acceptable in lieu of Talend.
• Experience with data lakes, data warehouses, and relational databases.

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT processes using AWS data services and/or Talend Studio.
• Work with data from multiple sources, including data lakes, data warehouses, and relational databases.
• Monitor, troubleshoot, and optimize data pipelines to ensure data accuracy, quality, and reliability.
• Develop and maintain data integration solutions using AWS services such as Glue, Lambda, S3, Redshift, EMR, RDS, Step Functions, Kinesis, and MWAA/Airflow.
• Collaborate with cross-functional teams to support data requirements, security protocols, and data-driven initiatives.
• Develop and maintain data solutions using S3-based Lakehouse architectures and Enterprise Data Warehouse environments.
• Contribute to the improvement, automation, and optimization of data engineering processes.
• Prepare and maintain technical documentation for data pipelines, processes, and integrations.

Skills

SQL

Python

Spark

Java

Tools

Talend Studio

AWS Glue

AWS Lambda

AWS S3

AWS Redshift

AWS EMR

AWS RDS

MWAA/Airflow

Job description

Job Summary:

We are looking for a Data Engineer responsible for designing, developing, and maintaining data pipelines and data infrastructure using AWS data engineering services and/or Talend Studio. The role will work with data from multiple sources and support reliable, secure, and scalable data processing solutions.

Key Responsibilities:

• Design, develop, and maintain data pipelines and ETL/ELT processes using AWS data services and/or Talend Studio.
• Work with data from multiple sources, including data lakes, data warehouses, and relational databases.
• Monitor, troubleshoot, and optimize data pipelines to ensure data accuracy, quality, and reliability.
• Develop and maintain data integration solutions using AWS services such as Glue, Lambda, S3, Redshift, EMR, RDS, Step Functions, Kinesis, and MWAA/Airflow.
• Collaborate with cross-functional teams to support data requirements, security protocols, and data-driven initiatives.
• Develop and maintain data solutions using S3-based Lakehouse architectures and Enterprise Data Warehouse environments.
• Contribute to the improvement, automation, and optimization of data engineering processes.
• Prepare and maintain technical documentation for data pipelines, processes, and integrations.

Qualifications:

• 2–5 years of experience in data engineering, ETL, or data integration.
• Experience with Talend Studio and/or AWS data engineering services. Talend experience is preferred but not mandatory.
• Strong experience with AWS-native data engineering services is acceptable in lieu of Talend experience.
• Proficiency in SQL, Python, Spark, and Java.
• Experience with AWS services such as Glue, Lambda, S3, Redshift, EMR, RDS, Step Functions, Kinesis, and MWAA/Airflow.
• Experience with S3-based Lakehouse architectures, RDS, and Enterprise Data Warehouse (EDW) environments.