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Strong Tier-1 brand, metro location, and broad Python/AWS skills increase candidate competition.
Data platform engineering skills transfer across industries, though financial domain experience is preferred.
Mandatory 7+ years and required Python, AWS, CI/CD, and SDLC experience make filters stringent.
Develop and deliver scalable data management platform solutions integrating with diverse data sources and managing metadata and data quality.
Design and implement APIs, self-service workflows, and automation pipelines to enhance data accessibility and operational efficiency.
Provide technical leadership and mentoring to data engineers, establish coding best practices, and optimize system performance.
Bachelor's degree (B.E./B.Tech.) in Computer Science or M.C.A. from a reputed university.
7+ years of relevant industry experience with complete SDLC experience.
Strong proficiency in Python and experience with Python frameworks (Pandas, Requests, Flask, FastAPI) and RESTful APIs.
Experience with AWS cloud services (EC2, S3, Lambda, RDS), Jenkins pipelines, and deploying/managing applications on AWS.
Experienced in enterprise-level data management platforms and aligned with data strategy execution.
Capable of providing technical leadership in a multi-cultural, geographically dispersed team environment.
Skilled in designing and optimizing data workflows and incorporating advanced technologies like GenAI into existing frameworks.