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KKR
Gurugram
Source: KKR careers · View original posting
From KKR's posting. “We” and “our” refer to the employer.
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 patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds.
KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries.
TEAM OVERVIEW
KKR’s Technology team is responsible for building and supporting the firm’s technological foundation including a globally distributed infrastructure, information security, and application and data platforms. The team drives a culture of technology excellence across the firm through efficient workflow automation, democratization of data through modern data and collaboration platforms, and more recently through research and development of Generative AI based tools and services.
Technology is regarded as a key business enabler at KKR and is an important accelerator to drive towards global scale creation and business process transformation. A dedicated Program Management function along with the Product Managers drive execution discipline across multiple technology teams with a goal to consistently deliver excellence serving our business needs. The Technology team consists of highly technical and business centric technologists with the ability to form strong partnerships across all of our businesses.
POSITION SUMMARY
We are seeking an experienced Data Engineer (5-8 years) to design, build, and operate scalable, production-grade data platforms on AWS. In this role you will own the full lifecycle of data pipelines - from ingestion and orchestration through transformation, storage, and governance - using a modern lakehouse stack built on Apache Iceberg, AWS Glue, and Snowflake.
You will partner with data scientists, analysts, and platform teams to deliver reliable, well-governed, and cost-efficient data products that power analytics and business decisions across Insurance Systems.
ROLES & RESPONSIBILITIES
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