Senior Data Engineer - ETL & Analytics Platform

TE Connectivity Ltd.; Muntinlupa; Hybrid; PHP 900,000 - 1,500,000; Full time

Job summary

TE Connectivity Ltd. is building an advanced analytics team under TE Information Solutions and is seeking a Data Engineer to design and implement ETL solutions for enterprise data warehouses and data lakes across on-prem and cloud platforms.

You will collaborate with project managers, vendor partners, and Segment CIO teams to deliver scalable data pipelines and BI solutions that enable self-service analytics and ROI improvements.

Qualifications

• 6+ years of Data Engineering experience in ETL design, development, optimization & testing.
• 3+ years of relational and cloud database design, optimization and performance.
• 2+ years of CI/CD tools like Jenkins, GIT; Java and Shell scripting.
• Experience with on-premise and cloud data platforms and data warehouses.
• Ability to work across multiple projects and meet deadlines.
• Strong communication and collaboration skills.

Responsibilities

• Designs and develops ETL solutions for Next Generation Analytics platform.
• Analyze data requirements and determine extraction, transformation and loading methods.
• Provide technical assistance and document ETL processes.
• Design and deploy ETL workflows with error handling and rollback.
• Manage data administration tasks like scheduling jobs, backups, and performance tuning.
• Ensure data quality and auditing throughout the ETL process.
• Collaborate with project managers and teams to deliver scalable data solutions.

Skills

Data engineering

ETL design

SQL tuning

CI/CD tooling

RESTful APIs

Communication skills

Tools

PL/SQL

SAP Data Services (BODS)

Talend

AWS

Redshift

MuleSoft

Jenkins

GIT

Job description

TE Connectivity Ltd. is building an advanced analytics team under TE Information Solutions and is seeking a Data Engineer to design and implement ETL solutions for enterprise data warehouses and data lakes across on-prem and cloud platforms.

You will collaborate with project managers, vendor partners, and Segment CIO teams to deliver scalable data pipelines and BI solutions that enable self-service analytics and ROI improvements.