Join Our Team as a Data Engineer I at Kroll

In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Leveraging sharp analytical skills and cutting-edge technology, we provide our clients with clarity, not just answers, across all business sectors. At Kroll, embracing diversity and cultivating an inclusive environment are at the core of our values. Join us to become a part of One team, One Kroll, and contribute to a supportive and collaborative work environment that empowers you to excel.

As a Data Engineer I at Kroll, your role is pivotal in delivering solutions to our clients' most complex governance, risk, and transparency challenges. This is your chance to be part of a team that values sharp minds and professional growth.

Key Responsibilities

• Participate in Scrum teams of data & analytics engineers to build, manage, and support advanced data and analytics infrastructure.
• Develop capabilities around data engineering including foundational data assets creation, data engineering pipelines, and data platform initiatives.
• Ensure accurate delivery of business unit and internal data through the Kroll Connected Ecosystem.
• Build cross-functional relationships that bolster understanding of product needs and improve data operations company-wide.
• Guide the adoption of new data products and platforms to enhance operational efficiency.
• Lead the development of scalable and fault-tolerant data pipelines for large-scale datasets integration across various platforms.
• Contribute to the establishment of an enterprise-level data strategy and governance.
• Oversee cross-functional global teams in high-paced project environments.

Requirements

• Bachelor’s degree and a minimum of 3 years of experience, including hands-on experience setting up enterprise-level data lakes.
• Proficiency in cloud-based data solutions like Azure Data Lake, Databricks, Azure Data Factory, and big data technologies.
• Expertise in data architecture, modern data warehousing, and data lifecycle management.
• Experience with analytic and BI tools such as Qlik and PowerBI, coupled with practical knowledge in stream and batch processing technologies.
• Proficient in applying scientific methods to extract insights from financial datasets and strong familiarity with financial valuation methodologies.

Desired Skills

• Robust experience with ETL/ELT processes in cloud environments, particularly with Python, PySpark, and Scala.
• Practical experience in continuous integration and deployment using Jenkins, CloudFormation, or Terraform.
• In-depth knowledge of database design, both relational and non-relational, and multiple SQL dialects.

To apply for this exciting opportunity as a Data Engineer I at Kroll, please submit your application through .

Kroll is deeply committed to diversity and inclusivity in the workplace, and we proudly support equality and accept candidates regardless of background. The salary range for this position is from $50,000 to $90,000, offering competitive compensation based on experience and qualifications.

We look forward to having your expertise to help guide Kroll through data-driven decisions and strategies. Apply today!

#LI-CN1