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Tier-1 brand, metro location, and mid-level generalist data role increase applicant competition.
Core data engineering skills transferable, but telecom/OSS domain requirements raise sensitivity.
Multiple mandatory technical skills (AI/ML, ETL, OSS, Airflow, telecom domain) increase screening rigor.
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Interface with clients for quality assurance, issue resolution, and ensuring customer satisfaction in technology delivery.
Responsible for understanding requirements, designing, validating architecture, code and unit test reviews, and leading teams to develop optimized, high-quality code.
Contribute to project estimation, technical risk planning, knowledge management, and adherence to organizational processes in digital transformation projects.
Experience with Telecom domain and Online Telecom Domain technologies.
Skills in AI/ML, ETL, OSS, and Analytics Techniques such as Panel Data Analysis.
Experience in solution delivery including design, architecture validation, code review, and testing.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in Telecom domain with knowledge of Online Telecom systems and OSS technologies.
Technical expertise in AI/ML engineering including traditional AI/ML, MLOps (Airflow), and analytics techniques like Panel Data Analysis.
Capable of client interfacing, project estimation, risk planning, team leadership, and maintaining high-quality technology deliverables.