Join Our Dynamic Team as a Senior Data Engineer at Kroll

In the landscape of rapidly evolving business challenges, Kroll remains a beacon of clarity and precision with the renowned Kroll Lens. Our advanced analytical capabilities, fused with cutting-edge technology, equip us to deliver not just answers but clear, concise insights across all business sectors. By fostering an environment rich in diversity and global perspectives, we value and embrace inclusivity, empowering each member of our team to excel. As a pivotal part of One team, One Kroll, you will contribute to a workspace that is both supportive and collaborative, enhancing your ability to succeed.

At Kroll, your expertise will play a crucial role in addressing our clients’ intricate issues relating to governance, risk, and transparency. We invite you to apply now and join One team, One Kroll to help guide our clients with clarity and precision.

Key Responsibilities:

As a Senior Data Engineer, you will:

• Join agile Scrum teams as a data & analytics engineer developing enterprise-grade data and analytics infrastructure, tools, and products.
• Enhance our data engineering capabilities with a focus on establishing foundational data assets, engineering pipelines, and data platform strategies.
• Take responsibility for the delivery of critical data via the Kroll Connected Ecosystem.
• Build and maintain cross-functional relationships to better understand product demands and delivery expectations.
• Foster the adoption of new data products and platforms to improve operations across the organization.
• Lead initiatives to build scalable, fault-tolerant data pipelines and platforms across multiple systems and applications.
• Formulate and deploy an enterprise-level data strategy that includes Governance, Data Architecture, and Big Data Analytics.
• Guide global cross-functional teams, contributing to international projects and collaborations.

Qualifications & Requirements:

• A Bachelor’s degree with a minimum of 3 years’ experience in data lakes creation on major big data platforms (experience with Azure Data Lake or Databricks is preferred).
• Expertise in Azure & Databricks across the data lifecycle including migrations, transformations, and modern data warehouse solutions.
• Proficiency in data architecture, security, and modern data processing techniques.
• Familiarity with business intelligence and analytics tools such as Qlik and PowerBI, as well as streaming technologies like Kafka or Amazon Kinesis.
• Strong analytical skills with experience in interpreting complex datasets.
• Experience with DevOps strategies and cloud performance analysis.

Desirable Skills:

• Hands-on experience with ETL/ELT using Cloud technologies.
• Proficiency in Python/PySpark, Scala, and database technologies like Oracle, SQL, and NoSQL.
• Familiarity with code deployment and orchestration tools such as Terraform or CloudFormation.

If you are excited about delivering technological solutions that offer clear business insights, we encourage you to apply via .

Kroll is dedicated to fostering an inclusive and diverse work environment. We are an equal opportunity employer, and we embrace candidates from all backgrounds. The salary range for this position is $50,000 - $125,000.

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