Sustaining Engineer – Modeling Support

Aera Technology

. Investigate and resolve complex customer production issues related to decision models, modeling, recommendations, data ingestion, and business processes .

Posted 9/18/2026full-timePune • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in troubleshooting complex customer production issues, with strong analytical skills to diagnose and resolve problems in enterprise applications. Proficient in SQL and familiar with data pipelines, cloud platforms, and AI-assisted engineering tools to drive customer success.

Highest-signal resume keywords

SQL SkillsEnterprise Application SupportData AnalyticsTroubleshooting Data PipelinesAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData AnalyticsTroubleshootingDebuggingData ModelingETL ProcessesBusiness IntelligencePythonJavaAI/ML Concepts

Soft Skills

Analytical SkillsProblem-SolvingCommunicationStakeholder ManagementCustomer Success

Tools & Technologies

Cloud PlatformsData WarehousesAnalytics ToolsMonitoring ToolsAI-Assisted Engineering Tools

Industry Keywords

Decision IntelligenceSupply ChainFinanceProcurementOperational Business Processes

Tech Stack

Tools & technologies

CloudDistributed SystemsETLJavaPythonSQL

About the role

Key responsibilities & impact

Investigate and resolve complex customer production issues related to decision models, modeling, recommendations, data ingestion, and business processes
Analyze model execution, recommendation generation, data transformations, and platform behavior to identify root causes
Triage and prioritize high-priority customer issues while ensuring timely communication and resolution
Work closely with Engineering and Product teams to drive permanent fixes and platform improvements
Develop deep expertise in customer implementations and become an SME for specific platform capabilities
Perform impact analysis and validate fixes before deployment
Create and maintain troubleshooting guides, runbooks, and knowledge base articles
Proactively identify recurring issues and recommend improvements to reduce support volume
Support root cause analysis activities and contribute to continuous improvement initiatives
Debug Enterprise Java applications and collaborate with customer engagement and development teams to enable resolutions

Requirements

What you’ll need

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
4+ years of experience in enterprise application support, data analytics, business intelligence, modeling, or related areas
Strong SQL skills and experience analyzing large datasets
Experience troubleshooting data pipelines, ETL processes, data models, or analytics platforms
Strong analytical and problem-solving skills to diagnose complex production issues
Ability to understand business processes and translate technical findings into actionable insights
Experience working with logs, monitoring tools, and debugging distributed systems
Excellent communication and stakeholder management skills
Passion for becoming a subject matter expert and driving customer success
Willingness to learn new technologies and business domains
Experience leveraging AI-assisted engineering tools such as Claude, ChatGPT, Cursor, and similar technologies
Experience with enterprise planning, supply chain, finance, procurement, or operational business processes
Familiarity with Python, Java, or scripting languages
Experience with cloud platforms, data warehouses, and analytics tools
Knowledge of decision intelligence, AI/ML, or optimization concepts is a plus

Benefits

Comp & perks

Competitive salary
Company stock options
Comprehensive medical plans
Vision plans
Dental plans
401K plan
Flexible paid time off
Generous parental leave
Flexible working environment
Fully-stocked kitchen with snacks and beverages when working from the office