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COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a…
Data engineer on KKR's Insurance Data Science team (reporting to the Chief Risk Officer), owning AI-assisted data reconciliation and ETL, building data pipelines, validation tools, and AI-native applications, with potential ML modeling for insurance pricing, risk, and forecasting. Core stack: Python, SQL, and agentic AI tools like Claude Code.
Hands-on technical leadership role at KKR (Gurugram, 4 days/week in office) owning end-to-end architecture of the firm's Reference Data Platform — an event-driven master-data system of record for parties, instruments, portfolios, and accounts. Core stack: Python, Spark, Kafka/CDC, Iceberg/Snowflake lakehouse, Terraform/Kubernetes, plus GenAI applied to data.
An AVP-level engineer on KKR's Operations Systems team designs, builds, and owns Python backend services and large-scale data pipelines (Spark, ETL/ELT), provisions cloud infrastructure with Terraform, and mentors junior engineers while driving design and code reviews.
Lead data engineering for KKR's Human Capital domain—designing and building people-data pipelines, platforms, and semantic models using SQL, Python, and cloud-based data ecosystems to power analytics and AI across the employee lifecycle.
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Y Combinator