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Tier-1 brand, mid-level Bangalore role with popular data and AI skills increases candidate competition.
Core data engineering and AI skills are broadly transferable across industries.
Multiple mandatory technical skills and explicit 5+ years experience raise shortlisting strictness.
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Lead and oversee complex, companywide technology initiatives, focusing on application modernization and platform integration.
Develop and enforce engineering standards and best practices for large-scale, complex technology solutions.
Design, code, test, and document software projects; lead teams or mentor peers; collaborate with senior technical experts and external groups to resolve complex technical issues.
5+ years of Software Engineering experience or equivalent via work, training, military, or education.
Advanced coding skills in Python and PySpark; experience with RDBMS technologies, preferably SQL Server.
Experience designing and optimizing large-scale data pipelines; knowledge of streaming tools like Kafka.
Work Experience Required: 5+ years Software Engineering; Notice Period: Not explicitly mentioned in the JD.
Experienced in technical leadership roles driving companywide engineering standards and complex project delivery.
Proficient in distributed systems, microservices architecture, and advanced data engineering including Apache Spark and Kafka.
Has hands-on experience building and implementing Retrieval-Augmented Generation (RAG) architectures and agentic AI/multi-agent orchestration systems.