Remote Data Engineer: ETL & Analytics Platform

TE Connectivity; Muntinlupa; Hybrid; PHP 600,000 - 1,200,000; Full time

Job summary

TE Connectivity is building a world-class analytics team to deliver data-driven insights across the business. The Data Engineer will design and implement ETL pipelines for an Enterprise data warehouse and data lake, on-prem and cloud, enabling self-service analytics and scalable BI solutions.

The role requires hands-on experience with ETL design, data modeling, and modern data platforms, plus collaboration with project managers, vendors, and cross-functional teams to drive ROI and data quality.

Qualifications

• 3+ years of Data Engineering experience in ETL design, development, optimization & testing.
• 3+ years of experience with PL/SQL, complex SQL tuning, stored procedures and data warehousing best practices.
• 1+ years of experience with relational and cloud database design and optimization (AWS S3/Redshift, SAP HANA/BW, Oracle, Hadoop).
• 1+ years of experience in designing SOA, RESTful APIs and enterprise integration using MuleSoft Platform.
• 1+ years of experience with CI/CD tools like Jenkins and GIT; Java and Shell scripting.

Responsibilities

• Designs and develops ETL solutions for Next Generation Analytics platform.
• Analyze data requirements, source data, and data models for ETL processes.
• Ensure scalability, reliability, security, and performance of on-premise and cloud ESB architectures.
• Document ETL and data warehouse processes and introduce automated data auditing.
• Collaborate with project managers, vendors, and CIO teams to deliver data solutions.

Skills

ETL design

SQL tuning

Data warehousing

Cloud data platforms

RESTful APIs

MuleSoft Platform

CI/CD tools

Java

Shell scripting

GIT

Tools

SAP Data Services

Talend

MuleSoft Platform

Jenkins

GIT

Job description

TE Connectivity is building a world-class analytics team to deliver data-driven insights across the business. The Data Engineer will design and implement ETL pipelines for an Enterprise data warehouse and data lake, on-prem and cloud, enabling self-service analytics and scalable BI solutions.

The role requires hands-on experience with ETL design, data modeling, and modern data platforms, plus collaboration with project managers, vendors, and cross-functional teams to drive ROI and data quality.