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Strong employer brand and metro location but specialized data platform skills moderate competition.
Role requires deep banking data platform experience and controls, reducing cross-industry transferability.
Multiple mandatory technical skills and platform experience increase candidate filtering rigor.
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Lead design, development, and delivery of scalable, secure data platform software solutions using Python/PySpark and AWS cloud services.
Own platform stability, resiliency, production support, technical upgrades, and operational excellence initiatives.
Collaborate cross-functionally with product managers, designers, and engineers to align software with business objectives and ensure high code quality and secure coding practices.
Expertise in Python/PySpark development for large-scale data engineering solutions.
Hands-on experience with AWS data platform design and deployment of cloud-native data solutions.
Strong experience in Data Warehousing, SQL, Data Modelling, and ETL (Informatica preferred).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading platform stability and operational excellence initiatives in complex environments.
Strong technical leadership skills with ability to guide teams or act as a subject matter expert influencing technical direction.
Prior exposure to banking or financial services domain and knowledge of BI/Analytics tools, DevOps, and modern data platforms like Databricks or Snowflake useful but not mandatory.