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Strong employer brand and metro location, but niche Ab Initio requirement and seniority limit applicant pool.
FinTech/regulatory experience and Ab Initio expertise required, making cross-industry transferability limited.
Explicit 8+/10+ years requirement plus mandatory Ab Initio, streaming and AWS skills creates high filtering rigor.
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Lead design and delivery of cloud-native, event-driven data platforms supporting real-time financial transactions and AI-ready data products.
Own end-to-end development and operational support of scalable ELT/ETL and 24x7 real-time streaming pipelines using Ab Initio, Kafka, Spark on AWS cloud.
Set technical direction, enforce engineering standards, mentor data engineers, and influence architectural decisions across enterprise data platform.
Bachelor’s degree in Computer Science, Engineering, or related field with 8+ years data engineering experience, or 10+ years equivalent hands-on experience without degree.
8+ years full lifecycle data engineering using Ab Initio, Kafka (MSK/Confluent), Spark, Hive, RDBMS, and AWS (EMR, MSK, Glue, S3, Redshift).
5+ years working with 24x7 real-time/streaming pipelines and 2+ years AWS cloud platform engineering including infrastructure-as-code and containerization.
Experience leading or mentoring teams in Agile/SAFe environment; must be available to work 3 PM to 12 AM IST with US Eastern Time overlap.
Proven hands-on technical leader with ownership of mission-critical data platform applications in a SAFe/DevOps environment balancing batch and real-time pipelines.
Experience in FinTech, credit card, or regulated banking data environments, capable of communicating complex technical topics with stakeholders.
AWS Solutions Architect or Data Engineer certification pursued or attained; familiarity with agentic AI/LLM data workflows is plus.