Data Engineer; Python, Snowflake, AWS & DBT - Assistant Vice President - AI, Data & Platforms

Position: Data Engineer (Python, Snowflake, AWS & DBT) - Assistant Vice President - AI, Data & Platforms
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.

KKR's Gurugram office provides best-in-class business operations services and solutions to our internal stakeholders and clients, drives organization-wide process efficiency and transformation, and reflects KKR's global culture and values of teamwork and innovation. The office contains multifunctional business capabilities and is integral in furthering the growth and transformation of KKR. The office was established with an initial concentration of finance, operations, and technology personnel, followed by the expansion of additional functions and capabilities.

KKR's creation of a Gurugram office builds upon the firm's momentum in India and bolsters its existing presence in Mumbai.

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 the 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. The Technology team consists of highly technical and business-centric technologists with the ability to form strong partnerships across all of our businesses. 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.

Position Summary

We are looking for a Data Engineer to design, build, and maintain scalable data pipelines and platforms that enable analytics, reporting, and advanced data science use cases. You will work closely with data analysts, data scientists, and engineering teams to ensure data is reliable, accessible, and production-ready.

We are operating in a 4-day in office, 1-day flexible work arrangement.

Roles & Responsibilities

Design, develop, and maintain robust data pipelines for batch and real-time processing
Build and manage data ingestion frameworks from multiple structured and unstructured data sources
Develop and optimize ETL / ELT workflows, including building modular, tested, and version-controlled transformations using dbt
Ensure data quality, integrity, availability, and security across platforms
Collaborate with analytics, data science, and product teams to understand data requirements
Model data for analytics and reporting (dimensional modeling, star/snowflake schemas)
Monitor and troubleshoot data pipelines and resolve performance or reliability issues
Implement best practices for data governance, documentation, and lineage

Qualifications

8+ years of experience with Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
Strong proficiency in SQL and experience with relational and No

SQL databases
Hands-on experience with data processing frameworks (Spark, Flink, or similar)
Proficiency in Python, Java, or Scala
Experience building data pipelines using workflow orchestration tools (Airflow, Dagster, etc.)
Hands-on experience with dbt (data build tool) for developing, testing, and documenting analytics-ready data models
Solid understanding of data architecture, data modeling, warehousing, and lakehouse concepts
Familiarity with version control systems (Git) and CI/CD practices

Preferred Qualifications

Experience with cloud data platforms (AWS, Azure, or GCP)
Hands-on experience with data warehouses and lake houses (Snowflake, Big Query, Redshift, Databricks)
Knowledge of streaming platforms (Kafka, Kinesis)
Experience implementing dbt at scale, including macros, packages, exposures, and CI/CD integration for dbt projects
Exposure to data governance, security, and compliance standards
Experience working in agile development environments
Understanding of data observability and monitoring tools
Asset management domain experience

KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex,…