Senior Data Engineer
TE Connectivity
Bangalore KA, IN,
4d ago

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
  • Skills :

  • 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
  • Competencies

    Values : Integrity, Accountability,Teamwork, Innovation

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