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Posted 9 Feb 2026

Data Engineer with Manufacturing Domain

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Team
CGI India Global Delivery Center
Posted
9 Feb 2026

About the role

Exp: 4 – 8 Years

Location : Bangalore


Good knowledge of the business vertical with prior experience in solving different use cases in the manufacturing or similar industry

Ability to bring cross industry learning to benefit the use cases aimed at improving manufacturing process at Nexperia

Problem Scoping/definition Skills: 

Experience in problem scoping, solving, quantification 

Strong analytic skills related to working with unstructured datasets.

Build processes supporting data transformation, data structures, metadata, dependency and workload management.

Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores

Ability to foresee and identify all right data required to solve the problem 

Data Wrangling Skills: 

Strong skill in data mining, data wrangling techniques for creating the required analytical dataset 

Experience building and optimizing ‘big data’ data pipelines, architectures and data sets

Adaptive mindset to improvise on the data challenges and employ techniques to drive desired outcomes 

Programming Skills: 

Experience with big data tools: Spark,Delta,CDC,NiFi, Kafka, etc

Experience with relational SQL ,NoSQL databases and query languages, including oracle , Hive, sparkQL.

Experience with object-oriented languages: Scala, Java, C++ etc.

Visualization Skills 

Know how of any visualization tools such as PowerBI, Tableau

Good storytelling skills to present the data in simple and meaningful manner 

Data Engineering Skills 

Strong skill in data analysis techniques to generate finding and insights by means of exploratory data analysis

Good understanding of how to transform and connect the data of various types and form

Great numerical and analytical skills

Identify opportunities for data acquisition

Explore ways to enhance data quality and reliability

Build algorithms and prototypes

Reformulating existing frameworks to optimize their functioning.

Good understanding of optimization techniques to make the system performant for requirements.

Soft Skills:

Self-motivated to find use cases, biz value. 

Problem solving and innovation 

Ability to interact with multiple stakeholder to gather the required knowledge of business process and convey ideas. 

Good Say to do ratio

Structured approach to problem solving 

Strong adherence to on time delivery

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