Sr. Data Engineer

Location:

Chennai, Tamil Nadu, India

Job ID:

R0107923

Date Posted:

2025-10-23

Company Name:

HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITED

Profession (Job Category):

Project/Program Management

Job Schedule: 

Full time

Remote:

No

Job Description:

The opportunity

Hitachi Energy, High Voltage Products is implementing Digital solutions to improve efficiency and quality. Data Engineer will support the Digital Quality teams of the global High Voltage BU by utilizing advanced data analytics, processes, and tools to improve efficiency and digitization.

How you’ll make an impact

• Supporting Digital Quality team by developing data analytics models and tools to analyze Quality, Inspection data and develop multiple digital projects. 

•  This involves understanding Manufacturing setup, Quality process, Quality data, building data ecosystem know-how. 

• Responsible for developing and updating models using Python, training users, improving process performance and data quality, and documenting guidelines.  

• Assessing data sources, analyzing Quality requirements / reports trends, developing models, and translating business requirements into analytical solutions.  

• Tasks include data cleansing, preprocessing, validation, and utilizing machine learning techniques to build and monitor robust models.  

• Staying up to date with industry trends is essential. 

• Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines.

• Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

Your background

• Bachelor's or master’s in data science, Statistics, Computer Science, or a related field. 

• Must have 5+ years of experience.

• Proven skills in data analysis, modeling, and Machine learning and proficient in Python, R, and SQL. 

• Strong communication skills for conveying complex concepts to non-technical audiences. 

• Strong grasp of statistical methods and machine learning algorithms. 

• Excellent problem-solving skills and attention to detail. 

•  Ability to work independently and in teams. 

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