Senior Data Engineer
At a glance
Senior Data Engineering role at Kroll. Hyderabad · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build Lakehouse data infrastructure around a Medallion design, connecting pipelines to varied source systems
- Create ETL and ELT jobs that ingest, reshape and distribute data for analytics, reporting and AI
- Model data with partner teams, then monitor and tune pipeline jobs to resolve bottlenecks and control costs
- Redesign infrastructure and automate manual work to improve scale and data delivery
- Guide junior engineers while testing new tools and approaches that strengthen AI workloads and data quality
What you bring
- At least five years delivering data engineering work and business-critical software for large enterprises
- A bachelor's or master's degree in computer science, engineering or a related discipline
- Hands-on experience building ETL or ELT jobs with Azure, Databricks, Python, SQL and REST APIs
Who this fits
This senior role suits an engineer who can balance delivery speed, quality and business needs, explain technical trade-offs, and mentor junior colleagues. You’ll work with international and cross-functional teams in a hybrid role based in Hyderabad.
From the employer
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 collaborate 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.
In order to be considered for a position, you must formally apply via careers.kroll.com
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