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 OVERVIEWKKR’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 SUMMARYWe 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.
- 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
- 13+ 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 NoSQL 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
- Experience with cloud data platforms (AWS, Azure, or GCP)
- Hands-on experience with data warehouses and lakehouses (Snowflake, BigQuery, 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, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.
KKR will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email [email protected]. Emails sent for unrelated issues, such as following up on an application, will not receive a response.
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.kkr.com/careers because of your disability. You can request reasonable accommodations by sending an email to [email protected]. Only emails left for this purpose will be returned.
Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This notice applies only to applicants and employees who work or will work in Massachusetts, in accordance with applicable state law.
Skills Required
- 13+ years of experience with Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
- Strong proficiency in SQL
- Experience with relational and NoSQL 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 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
- Experience with cloud data platforms (AWS, Azure, or GCP)
- Hands-on experience with data warehouses and lakehouses (Snowflake, BigQuery, Redshift, Databricks)
- Knowledge of streaming platforms (Kafka, Kinesis)
- Experience implementing dbt at scale (macros, packages, exposures, CI/CD integration)
- Exposure to data governance, security, and compliance standards
- Understanding of data observability and monitoring tools
- Experience working in agile development environments
- Asset management domain experience
KKR Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KKR and has not been reviewed or approved by KKR.
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Fair & Transparent Compensation — Pay is considered strong and often characterized as fair, with a success‑based model intended to tie rewards to realized performance. Feedback suggests this structure improves clarity around how outcomes influence compensation.
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Equity Value & Accessibility — Broad‑based employee ownership is emphasized, giving team members access to options, RSUs, and portfolio‑company equity programs that can yield meaningful upside. This approach is positioned as additional value without trading off wages or core benefits.
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Healthcare Strength — Health coverage is described as comprehensive, with standout elements like an on‑site wellness center at the New York headquarters offering primary care, mental health, and preventive services. Wellness programs, nutrition support, and EAP resources further reinforce a robust health offering.
KKR Insights
What We Do
KKR is a leading global investment firm that offers alternative asset management and 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 The Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. For additional information about KKR & Co. Inc. (NYSE: KKR), please visit KKR’s website at www.kkr.com and on Twitter @KKR_Co.
