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DATA ENGINEER - ANALYTICS COE

 

Company Information

TE Connectivity Ltd., is a $14 billion global technology and manufacturing leader creating a safer, sustainable, productive, and connected future. For more than 75 years, our connectivity and sensor solutions, proven in the harshest environments, have enabled advancements in transportation, industrial applications, medical technology, energy, data communications, and the home. With 80,000 employees, including more than 8,000 engineers, working alongside customers in approximately 140 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn, Facebook, WeChat and Twitter.

 

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.

 

Responsibilities

  • Analyse, 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
     

Education

  • B.S. in Computer Science or Computer Engineering
  • MBA or minor in Business, Engineering, or Finance related discipline, or relevant experience in these areas

 

Minimum Requirements

  • 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
Location: 

MAKATI CITY, 00, PH, 1226

City:  MAKATI CITY
State:  00
Country/Region:  PH
Travel:  10% to 25%
Requisition ID:  69496
Alternative Locations: 
Function:  Strategy, Business Development & M&A


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