Predictive Analytics Engineer/SRE

2 weeks ago

Hyderabad, Telangana, India Codvo Full time ₹ 1,50,000 - ₹ 28,00,000 per year

Job Title:
Predictive Analytics Engineer / Reliability Engineer

location: Hyderabad (On-site / Work from Office)

Job Summary:

We are seeking a skilled and motivated professional with expertise in
Predictive Analytics
and
Maintenance Systems
to join our team. The ideal candidate will have hands-on experience with
APA
, industrial equipment monitoring, and strong technical skills in software and data tools. This role focuses on driving asset performance, improving reliability, and supporting proactive maintenance strategies through advanced analytics.

Key Responsibilities:

  • Develop, deploy, and maintain predictive analytics models for industrial equipment using tools like
    APA
    ,
    PRiSM
    , and
    SmartSignal
    .
  • Analyze equipment performance data to identify trends, patterns, and potential failure modes.
  • Collaborate with maintenance and operations teams to optimize equipment uptime and reliability.
  • Design and implement dashboards and reports using
    SQL
    ,
    SSRS
    , and
    MS Office
    tools.
  • Write scripts and automation tools using
    C#
    ,
    .NET
    , and
    PowerShell
    to support analytics workflows.
  • Integrate predictive analytics with existing maintenance systems and business processes.
  • Provide technical support and training to stakeholders on analytics tools and insights.
  • Stay up to date with the latest developments in predictive maintenance, industrial IoT, and reliability engineering.

Key Skills & Qualifications:

  • Strong knowledge of
    Predictive Analytics
    and
    Condition-Based Monitoring
    .
  • Experience working with
    APA
    ,
    PRiSM
    ,
    SmartSignal
    , or similar platforms.
  • Familiarity with
    Maintenance Systems
    and reliability-centered maintenance practices.
  • Understanding of
    Industrial Equipment
    and asset performance management.
  • Proficiency in
    C#
    ,
    .NET
    ,
    PowerShell
    ,
    SQL
    , and
    SSRS
    .
  • Advanced knowledge of
    MS Office
    , particularly Excel and PowerPoint.
  • Strong analytical, problem-solving, and communication skills.
  • Bachelor's or Master's degree in Engineering, Computer Science, Data Science, or a related field.

Preferred Qualifications:

  • Experience in industrial environments such as Oil & Gas, Energy, Utilities, or Manufacturing.
  • Knowledge of machine learning techniques applied to predictive maintenance.
  • Familiarity with asset hierarchy, data historians, and SCADA systems.

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