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Tier-1 brand and metro location with a specialized but in-demand data engineering skillset drive medium competition.
Core PySpark/Databricks data engineering skills transfer well, though banking risk domain increases specificity.
Mandatory Databricks, PySpark, Python and regulatory domain experience create moderately strict technical filters.
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Provide day-to-day administration and development support for risk management and modelling applications using Python, PySpark, and Databricks.
Analyze, develop, test, debug, and document programming on assigned applications according to business requirements.
Monitor platform performance, conduct regulatory checks, perform root cause analysis, and resolve incidents independently or with transversal teams.
Strong expertise in Python, Spark, and SQL.
Hands-on experience with Databricks.
Working knowledge of AWS Cloud with ability to ramp up quickly.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in Agile methodologies with ability to work independently and collaboratively in tight timelines.
Capable of handling technical support, administration, and incident management in production environments.
Comfortable contributing to process improvements, documentation, and peer training initiatives.