Sr. 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. 

 

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TE Connectivity in Middletown, PA is looking for a Senior Data Engineer, responsible for driving 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. Work on problems that require advanced analytics applications to create value for diverse business functions such as supply chain, pricing, Industrial IOT and digital factory implementation, digital marketing, and sales growth, and 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. Telecommuting permitted.

 

Requirements: Bachelor’s  degree in Computer Science, Computer Engineering, or related field (or foreign equivalent), plus 5 years of experience in the job offered, or in a related occupation.    

 

Special Requirements:  Requires 5 years of experience with the following:

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

Telecommuting permitted. May require employment and background checks.

Please apply at www.jobpostingtoday.com, enter job code 47454 and submit resume.

Job Overview

Responsible for designing and establishing the solution architecture for analytical platforms and/or data-enabled solutions.Has broad understanding of the entire data and analytics eco-system of tools and technologies, with hands-on experience across all three core data domains of data science, data engineering, and data visualization. Responsible for fleshing out the details of the end-to-end component architecture being implemented by the team. Contributes to the team's development velocity, if necessary. Understands how an organization's data platform integrates within the overall technical architecture. Understands the business purpose the role fulfills, and the roadmap for the lifecycle of an organization's systems. Sets the direction and establishes the approach for integrating information applications and programs.

What your background should look like:

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

ABOUT TE CONNECTIVITY
TE Connectivity is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, renewable energy, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 8,000 engineers, working alongside customers in approximately 140 countries.