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Strong Caterpillar brand and Chennai metro increase competition, but senior niche predictive-maintenance skillset reduces density.
Strong industrial equipment and diesel engine domain knowledge required limits cross-industry transferability.
Mandatory eight years plus niche predictive-maintenance, Python and Snowflake requirements enforce stringent shortlisting filters.
Prevent customer downtime by analyzing condition monitoring data including electronic, fluids, and equipment & fleet data.
Generate accurate, actionable recommendations that support aftermarket services growth and strengthen customer relationships.
Work onsite five days a week contributing directly to customer success through condition monitoring techniques.
Bachelor's degree in Engineering, Mechanical Engineering, or related field.
Minimum 8 years of relevant work experience.
Ability to work onsite 5 days a week as required (no remote option).
Excellent communication and collaboration skills.
Experience with diesel engines and proficiency with condition monitoring tools and software.
Strong analytical skills with demonstrated ability to interpret complex data sets.
Programming skills in Python or Snowflake; experience applying Generative AI to generate value in condition monitoring or maintenance contexts.