Senior Data Engineer

Kroll; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Kroll in Bengaluru is seeking a Senior Data Engineer to design and build scalable data pipelines in a Lakehouse environment. You will develop ETL/ELT workloads, ensure data integrity, and collaborate with teams serving financial institutions and government clients.

Leveraging Azure Databricks, Python, SQL, and related tools, you will mentor junior engineers, optimize performance, and contribute to AI-enabled analytics in an agile setting.

Qualifications

• Bachelor’s or Master’s degree in CS, engineering, or a related field.
• 5+ years of data engineering experience in enterprise environments.
• Experience building ETL/ELT pipelines and data platforms.

Responsibilities

• Design and build scalable data infrastructure and Medallion architecture in Lakehouse.
• Develop robust ETL/ELT jobs for ingestion, transformation, and distribution.
• Collaborate with global teams to meet data requirements and deliver insights.
• Monitor, optimize, and cost-control data pipelines and jobs.
• Mentor junior engineers and drive best practices in engineering processes.

Skills

Communication

Analytical thinking

Cross-functional collaboration

Problem solving

Attention to detail

Ability to work with international팀

Education

Bachelor’s/Master’s in CS/Engineering

Tools

Azure Databricks

Python

SQL

REST APIs

FastAPI

Pydantic

Polars

Pandas

Delta Lake

Docker

Kubernetes

Job description

Job Description:

We are hiring a Senior Data Engineer to join our team. At Kroll, we are building a strong, forward-looking data practice that integrates artificial intelligence, machine learning, and advanced analytics. You will be designing, building, and integrating data pipelines from diverse sources and collaborating with teams that serve the world’s largest financial institutions, law enforcement bodies, and government agency

The Day-to-day Responsibilities Include But Not Limited To

• Design and build scalable organizational data infrastructure and Medallion architecture within a Lakehouse environment
• Develop robust, fault-tolerant ETL/ELT applications for seamless data ingestion, transformation, and distribution to enable analytics, reporting, and AI workloads
• Work with different stakeholders and teams to assist with data related technical solutions and support their data infrastructure needs
• Explore and experiment with new use cases, frameworks, and tools to enhance AI capabilities, ensuring data integrity, quality, and reliability
• Identify and implement infrastructure re-designs to improve scalability, optimize data delivery, and automate manual workflows
• Choose the best tools/services/resources to build robust data pipelines
• Collaborate with cross-functional teams to understand data requirements, create robust data models, and deliver actionable insights
• Monitor, troubleshoot, and optimize jobs for performance, addressing data pipeline bottlenecks and ensuring cost efficiency
• Continuously improve engineering processes, balancing speed, quality, and business impact
• Coach, mentor, and provide technical guidance to junior engineers, fostering a culture of continuous learning and development
• Stay updated on emerging technologies and trends in data engineering, recommending and implementing innovative solutions

Requirements

• Bachelor’s/Master’s degree in computer science, engineering, or a related field
• 5+ years of proven experience in data engineering, delivering business-critical software solutions for large enterprises with a consistent track record of success
• Experience writing ETL/ELT jobs
• Experience with Azure and Databricks Platform
• Experience with Python, SQL, and REST APIs
• Excellent communication and the ability to reason about trade-offs
• Ability to work with an international team

Desired Skills

• Cloud architecture principles: compute, storage, networks, security, cost
• Proficiency in using open-source tools, frameworks like FastAPI, Pydantic, Polars, Pandas, Delta Lake, Docker, Kubernetes
• Knowledge of CI/CD, Git, or infrastructure-as-code concepts
• Strong project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously in an Agile environment
• Understanding of how data engineering feeds into Business Intelligence and reporting tools (Power BI/Tableau)
• Strong problem-solving and analytical skills
• Strategic thinker and strong execution orientation
• Ability to work in cross-functional teams
• Attention to detail and data quality

About Kroll

In a world of disruption and increasingly complex business challenges, our professionals bring truth into focus with the Kroll Lens. Our sharp analytical skills, paired with the latest technology, allow us to give our clients clarity—not just answering all areas of business. We value the diverse backgrounds and perspectives that enable us to think globally. As part of One team, One Kroll, you will contribute to a supportive and collaborative work environment that empowers you to excel.

Kroll is the premier global valuation and corporate finance advisor with expertise in complex valuation, disputes and investigations, M&A, restructuring, and compliance and regulatory consulting. Our professionals balance analytical skills, deep market insight and independence to help our clients make sound decisions. As an organization, we think globally—and encourage our people to do the same.

Kroll is committed to equal opportunity and diversity, and recruits people based on merit.