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Data Engineer

Data Engineer

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 

Job Overview

At TE we strongly believe that data and analytics are strategic drivers for future success. We are investing significantly in building our advanced analytics team. The Analytics team at TE is part of the TE Information Solutions (TEIS) Organization and is responsible for driving organic growth by leveraging big data and advanced analytics. The team reports to the VP and Chief Data Officer at TEIS, works closely with the SVP of Corporate Strategy, and has regular interactions with the company’s C-Suite. This Data Scientist position will directly report to the Director of Data Science.
We are on an exciting journey to build and scale our advanced analytics practice; in this position you will apply your skills to unlock opportunities and enable top strategic priorities for TE. You will be working on problems that require advanced analytics applications to create value for diverse business functions such as supply chain, pricing, Industrial IOT & digital factory implementation, digital marketing and sales growth, and will impact business units that span through multiple geographic areas.


•    Analyze      , organize, segment and disseminate raw or unprocessed data based on business needs.
•    Be the key anchor for data extraction, preparation and hosting processes.
•    Create master data files from disparate data sources by building data pipelines.
•    Develop and test architecture for data extraction.
•    Provide continuous connectivity to a master data source and access to refreshed data
•    Ensure data quality and reliability
•    Data expert for datasets used by data scientists


•    Advanced SQL RDBMS design and query building skills (Oracle, SQL Server, Redshift, etc.)
•    Sound knowledge of ETL practices.
•    Experience profiling, manipulating, and merging massive data set using Big Data technologies, preferably from AWS, Google, Microsoft, or Cloudera.
•    Exposure to SAP ERP system, Salesforce.com, etc.
•    Coding experience with Talend, SAP data services, or other ETL methods 
•    Unix or other shell scripting, and exposure to job scheduling software such as Control-M
•    Visualization tool experience, especially with Tableau or Power BI
•    Attention to detail and logical based thinking in building, testing, and reviewing data pipelines containing multi-disciplinary information 
•    Commitment to build using established coding and naming standards

We Value:

•    Data Engineering & Cloud Certifications
•    Experience in business domains – supply chain, pricing, sales & marketing
•    Experience in working with data scientists
•    Strong problem solver who can invent new techniques and approaches if necessary
•    Ability to work in a fast-paced environment


Job Overview

TE Connectivity’s Engineering Systems Teams conduct analysis, evaluation, design, modification, testing and implementation of enterprise-wide systems across engineering, product management and related functional areas. They perform analysis of systems specifications and use the latest analytical/diagramming tools to represent business/technical processes. TE's Engineering Systems Teams also develop conversion and system implementation plans, prepare and obtain approval of system and programming documentation, recommend changes in development, maintenance and system standards, coordinate system upgrade activity and train user personnel in the conversion and implementation of the system.

What your background should look like:


Values: Integrity, Accountability,Teamwork, Innovation


State:  ABR
Country/Region:  PH
Travel:  None
Requisition ID:  78154
Alternative Locations: 
Function:  Information Technology

Job Segment: Database, Engineer, ERP, Oracle, SAP, Technology, Engineering

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