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Tier-1 brand and metro location increase applicants, but specialized Quantexa skill reduces density.
Deep Quantexa platform expertise and domain-specific skills make cross-industry transferability low.
Explicit 8+ years, 4+ years Quantexa, and mandatory tech stack create stringent shortlisting filters.
Lead end-to-end design, development, delivery, and support of scalable Quantexa solutions including architecture, coding, and performance tuning.
Provide technical leadership across multiple Quantexa projects, including code reviews, standards setting, and team mentorship to ensure high-quality implementation.
Collaborate with product, architecture, and business teams to translate requirements into technical solutions delivering measurable business value.
8+ years in software development and data engineering; 4+ years hands-on Quantexa implementation experience.
Mandatory skills: Expertise in Quantexa platform components (ETL, Entity Resolution, Graph Scripting, Scoring, Alerting, Task Loading, Compound Development, Performance Tuning).
Strong proficiency with Scala, Apache Spark, Hadoop, SQL, Git, and CI/CD pipelines; Cloud deployment experience on Azure/AWS/GCP preferred.
Bachelor's or Master's degree in Computer Science, IT, Engineering or related field; Quantexa Certification preferred.
Experienced leader with proven ability to manage and deliver enterprise-scale Quantexa projects and teams.
Deep technical expertise in Quantexa platform and big data technologies focused on performance optimization and scalable architecture.
Comfortable driving technical standards, mentoring teams, and collaborating with cross-functional stakeholders in complex environments.