R&D Data Engineering Specialist

Pittsburgh Glass Works • Cheswick, PA

1d • Onsite

About The Position

Vitro is seeking a qualified Data Engineering Specialist to join their Research & Development team at the Glass Technology Center in Harmar, PA. The Data Engineering Specialist's general function is to build and maintain the Vitro Data and Analytics Platform, and develop tools and applications in support of R&D and non-R&D customers. Vitro is the largest glass manufacturer in the Western Hemisphere and the largest glass producer in North America, with a commitment to sustainable manufacturing processes and products. They operate one of the world’s largest glass research and development facilities in Pittsburgh, PA.

Requirements

• B.S. STEM major (Engineering, Computer Science, or other relevant fields) requires 2+ years relevant experience
• M.S. entry level with directly applicable degree, otherwise M.S. will also require 1+ year(s) relevant experience
• Written and verbal communication skills along with human relations competency are essential.
• Strong aptitude and willingness to continually learn and expand skill sets
• Dedication to timely and detailed follow-through
• Skilled in programming with languages including Python, PySpark, and C# .NET
• Experience with relational databases and SQL scripting
• Experience with Excel including scripting and automation

Nice To Haves

• Knowledge of AVEVA PI
• Knowledge of Microsoft Azure
• Knowledge of Spark
• Knowledge of Apache Kafka
• Fundamental knowledge in statistics and engineering
• Knowledge of glass making and vacuum coating processes

Responsibilities

• Works in a safe manner and strictly adheres to all laboratory and manufacturing safety protocols
• Acquire, consolidate and validate large datasets from multiple sources through data platform/system such as SQL, AVEVA PI, and Azure Cloud, etc.
• Perform data transformation and processing thru coding
• Document data variables from different on-prem data sources and in Cloud, transformation, and merge rules
• Manage, orchestrate and troubleshoot data flows in Cloud
• Work with AVEVA PI systems: build and manage PI Views, build AF structures
• Assist in compilation of research reports and communication of research findings in project meetings
• Travel to manufacturing plants for project launch and execution may be required

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level