TE Connectivity - Middletown, PA

posted 4 days ago

Full-time - Senior
Remote - Middletown, PA
10,001+ employees
Computer and Electronic Product Manufacturing

About the position

The Senior Data Engineer at TE Connectivity is responsible for driving organic growth through the use of big data and advanced analytics. This role involves building and scaling the company's advanced analytics practice, unlocking opportunities, and enabling strategic priorities across various business functions. The engineer will analyze and organize raw data, create master data files, develop data extraction architectures, and ensure data quality and reliability, all while working in a collaborative environment that values diversity and innovation.

Responsibilities

  • Drive organic growth by leveraging big data and advanced analytics.
  • Build and scale the company's advanced analytics practice.
  • Unlock opportunities and enable top strategic priorities for TE.
  • Analyze, organize, segment, and disseminate raw or unprocessed data based on business needs.
  • 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.
  • Act as a data expert for datasets used by data scientists.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, or related field (or foreign equivalent).
  • 5 years of experience in the job offered or in a related occupation.
  • Advanced SQL RDBMS design and query building skills (Oracle, SQL Server, Redshift, etc.).
  • Knowledge of ETL practices.
  • Experience profiling, manipulating, and merging massive datasets 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 experience, and exposure to job scheduling software such as Control-M.
  • Experience with visualization tools, especially Tableau or Power BI.
  • Attention to detail and logical thinking in building, testing, and reviewing data pipelines.

Benefits

  • Competitive Salary Package
  • Performance-Based Bonus Plans
  • Health and Wellness Incentives
  • Employee Stock Purchase Program
  • Community Outreach Programs / Charity Events
  • Employee Resource Group
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