Engineer – Wind Turbine Testing and Analysis

Growth For Impact; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Growth For Impact in Bengaluru is seeking a capable Measurement Engineer to oversee measurement projects, interact with customers, and coordinate with Service Line Leaders. You will manage the local workshop, handle measurement equipment, and analyze big data to design data‑intelligence tools and statistical models.

The role emphasizes collaboration with global teams, mentorship of colleagues, and contributing to R&D and publications.

Qualifications

• Experience with measurement equipment installation, operation, maintenance, and data analysis for wind turbines.
• Ability to interpret and report on power performance, fault ride‑through, power quality, and load measurements.
• Expertise in big‑data analysis and architecture of data‑intelligence tools.
• Solid foundation in probability, statistics, and applied mathematics; ability to develop statistical models.
• Experience engaging in global innovation initiatives and collaborating with international engineering teams.
• Mentor and train other employees; foster a trust‑oriented environment.

Responsibilities

• Coordinate execution of mandates/projects with Service Line Leaders.
• Manage the local workshop and handle measurement equipment.
• Analyse unstructured and structured big data; design data‑intelligence tools and big‑data structures.
• Participate in R&D projects and contribute to scientific publications.
• Mentor and train other employees.
• Foster a trust‑oriented environment to help team members reach their potential.

Skills

Measurement equipment

Wind turbine data analysis

Big data analysis

Statistical modeling

Cross-functional coordination

Project management

Job description

ROLE

• Manage measurement projects, including customer interaction and internal team coordination.
• Coordinate execution of mandates/projects with Service Line Leaders.
• Manage the local workshop and handle measurement equipment.
• Analyse unstructured and structured big data; design data‑intelligence tools and big‑data structures.
• Apply probability, statistics, and applied mathematics to develop and test statistical models.
• Identify and implement improvements in delivery of existing services through internal projects.
• Participate in DNV global innovation projects and ensure new solutions are deployed in the Indian region.
• Collaborate with global Measurement Engineers in Europe and North America; pursue experience exchange opportunities.
• Manage multiple priorities in a fast‑paced environment and meet deadlines.
• Contribute to the global energy transition and shape the future of energy.
• Mentor and train other employees.
• Foster a trust‑oriented environment to help team members reach their potential.
• Participate in R&D projects and contribute to publishing journal papers.
• Perform any other duties as directed by line management.

REQUIREMENTS

• Experience with measurement equipment installation, operation, maintenance, and data analysis for wind turbines.
• Ability to interpret and report on power performance, fault ride‑through, power quality, and load measurements.
• Skills in hardware assembly, maintenance, and workshop activities.
• Strong project management capabilities, including customer and internal team management.
• Proficiency in coordinating cross‑functional project execution.
• Expertise in big‑data analysis and architecture of data‑intelligence tools.
• Solid foundation in probability, statistics, and applied mathematics; ability to develop statistical models.
• Demonstrated ability to identify service improvement opportunities and implement solutions.
• Experience engaging in global innovation initiatives and collaborating with international engineering teams.
• Capability to manage multiple priorities and meet tight deadlines.
• Inquisitiveness, patience, and detail‑orientation for field testing and measurement.
• Traits of being updated, organized, risk‑taking, integrity‑driven, and collaborative.
• Ability to mentor, train, and foster a supportive team environment.
• Participation in R&D activities and contribution to scientific publications.