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Tier-1 brand, common Data Engineer title, and metro location increase applicant competition despite Celonis niche.
Role requires Celonis process-mining and banking process knowledge, making cross-industry transfers difficult.
Mandatory Celonis/process-mining expertise, SQL and banking controls imply rigorous technical and compliance screening.
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Lead development and management of scalable, secure data infrastructure and deployment pipelines for digital solutions.
Build and maintain Celonis data models, pipelines, and process mining use cases from enterprise systems with strong SQL and PQL expertise.
Collaborate cross-functionally to align data engineering solutions with banking processes, performance monitoring, and risk controls.
Experience: Proven background in data engineering, analytics engineering, business intelligence, or enterprise data platforms.
Technical: Expertise in Celonis including Data Integration, Data Models, Process Mining, and strong SQL skills with complex queries and performance tuning.
Domain Knowledge: Understanding of banking processes such as KYC, lending, payments, risk controls, and regulatory reporting.
Location: Position based in Pune, India.
Experienced in building and optimizing Celonis process mining solutions within financial services or banking domain.
Able to translate complex business process logic into reliable data models and handle troubleshooting of data inconsistencies and pipeline issues.
Skilled in Agile delivery environments and collaboration across technology, compliance, business, and operations teams with a strategic focus on process intelligence.