6 months ago
Hyderābād, IndiaSenior
Responsibilities
- Design and build scalable organizational data infrastructure and Medallion architecture in a Lakehouse environment.
- Develop robust, fault-tolerant ETL/ELT applications for data ingestion, transformation, and distribution.
- Support stakeholders with data-related technical solutions and data infrastructure needs.
- Explore frameworks and tools that enhance AI capabilities while maintaining data integrity, quality, and reliability.
- Redesign infrastructure to improve scalability, data delivery, and workflow automation.
- Select appropriate tools, services, and resources for robust data pipelines.
- Create data models and deliver data solutions for analytics, reporting, and AI workloads.
- Monitor, troubleshoot, and optimize data jobs for performance, bottlenecks, and cost efficiency.
- Continuously improve engineering processes while balancing speed, quality, and business impact.
- Coach, mentor, and provide technical guidance to junior engineers.
- Stay current with data engineering technologies and recommend and implement innovative solutions.
Requirements
- Bachelor’s or master’s degree in computer science, engineering, or a related field.
- 5+ years of data engineering experience delivering business-critical software solutions for large enterprises.
- Experience writing ETL/ELT jobs.
- Experience with Azure and Databricks Platform.
- Experience with Python, SQL, and REST APIs.
- Ability to communicate effectively, reason about trade-offs, and work with an international team.
- Preferred proficiency with FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, and Kubernetes.
- Knowledge of cloud architecture principles covering compute, storage, networks, security, and cost.
- Knowledge of CI/CD, Git, or infrastructure-as-code concepts.
- Understanding of how data engineering supports Business Intelligence and reporting tools such as Power BI and Tableau.
- Strong project management, problem-solving, analytical, strategic execution, cross-functional collaboration, and attention-to-detail skills.
About Kroll
Kroll provides risk and financial advisory services, including valuation, corporate finance, restructuring, investigations, cyber risk, and compliance, to enterprises, financial institutions and law firms. It earns fees for advisory, due diligence, disputes, and agency/trustee services across global capital markets. Founded in 1972 and headquartered in New York, the firm operates internationally and is known for complex valuations and forensic investigations.