Data Engineer - Remote with Flexible Hours

TE Connectivity Corporation; Muntinlupa; Hybrid; PHP 700,000 - 1,100,000; Full time

Job summary

TE Connectivity Corporation is seeking a Data Engineer (Remote, Flexible Working Hours) to design and implement ETL pipelines for an on-premise and cloud-based data warehouse and data lake. The role focuses on delivering scalable data pipelines, BI-ready data, and analytics-ready datasets to support enterprise decision making.

You will work with SAP Data Services (BODS), Talend, and cloud services (AWS) while aligning with governance, security, and performance standards.

Qualifications

• 3+ years of Data Engineering experience in ETL design, development, optimization & testing using PL/SQL, SAP Data Services (BODS) or Talend etc.
• 3+ years of experience with PL/SQL, complex SQL tuning and data warehousing best practices.
• 1+ years of experience in relational and cloud database design, optimization and performance; familiarity with AWS, SAP HANA/BW, Oracle, Hadoop.
• 1+ years of experience in developing batch, realtime and streaming data flows for personalization and analytics.
• 1+ years of experience with CI/CD tools like Jenkins, GIT, Java and Shell scripting.

Responsibilities

• Designs and develops ETL solutions for Next Generation Analytics platform.
• Analyze data requirements, source data, data models, and implement extraction, transformation and loading processes.
• Ensure data quality and documentation for ETL and data warehouse processes.
• Develop and deploy ETL workflows with robust error handling and rollback.
• Coordinate testing and validation of data pipelines and interfaces.

Skills

ETL design

PL/SQL

Data modeling

Data warehousing

Cloud analytics

RESTful / SOA concepts

SOA & ETL governance

Tools

SAP Data Services (BODS)

Talend

Jenkins

GIT

Java

Shell scripting

AWS (S3, Redshift)

Job description

TE Connectivity Corporation is seeking a Data Engineer (Remote, Flexible Working Hours) to design and implement ETL pipelines for an on-premise and cloud-based data warehouse and data lake. The role focuses on delivering scalable data pipelines, BI-ready data, and analytics-ready datasets to support enterprise decision making.

You will work with SAP Data Services (BODS), Talend, and cloud services (AWS) while aligning with governance, security, and performance standards.