Senior Data Engineer | Kroll, Mumbai, India
Job Description
Summary
Kroll is seeking a highly skilled Senior Data Engineer to join our innovative data team in Mumbai, India, with additional opportunities in other locations. This role focuses on building and optimizing robust data pipelines, integrating AI/ML solutions, and supporting strategic initiatives for alternative asset advisory clients. The ideal candidate will have strong experience in ETL/ELT pipeline development, cloud platforms, and modern data engineering frameworks, working with global teams to deliver scalable and high-quality data solutions. Join Kroll to advance your career in a dynamic environment combining data engineering, analytics, and cutting-edge technology.
Job Details at a Glance
| Title | Senior Data Engineer |
|---|---|
| Location | Mumbai, India (with other location options) |
| Department | Data Engineering & Analytics |
| Experience Required | 5–10 years |
| Education | Bachelor’s or Master’s in Computer Science, Engineering, or related field |
| Shift | Standard / Hybrid |
| Tools & Technologies | Azure, AWS, Databricks, Python, Spark, Delta Lake, Airflow, FastAPI, Docker, Kubernetes |
| Apply Link | Kroll Careers |
Key Responsibilities
Data Infrastructure & Pipeline Development
- Design, build, and maintain scalable organizational data infrastructure and architecture.
- Develop, optimize, and manage ELT/ETL pipelines for diverse data sources.
- Select appropriate tools and technologies for data ingestion, transformation, and distribution.
- Ensure high-quality, fault-tolerant, and resilient data solutions across global teams.
Process Improvement & Automation
- Identify and implement process improvements, including automation of data workflows.
- Optimize data pipelines and performance of complex SQL/Spark queries.
- Collaborate with cross-functional teams to integrate automation and AI/ML solutions into workflows.
Governance, Compliance & Collaboration
- Enforce data governance best practices, including cataloging, profiling, and mapping.
- Conduct code quality audits and peer reviews to maintain consistency and readability.
- Partner with stakeholders in the Alternative Asset Advisory service line to support strategic initiatives.
Technical Innovation
- Build REST APIs, Python SDKs, and Spark-based data services.
- Develop solutions using modern frameworks such as FastAPI, Pydantic, Polars, Pandas, Delta Lake.
- Leverage Lakehouse and Medallion architecture principles for structured and unstructured data.
- Work with pipeline orchestration tools like Airflow and Azure Data Factory.
Required Skills & Qualifications
- Proven experience designing and managing ETL/ELT pipelines.
- Advanced expertise in cloud platforms (Azure, AWS) and Databricks.
- Strong knowledge of Python, PySpark, Spark SQL, relational databases.
- Hands-on experience with data services, APIs, SDKs, and containerization tools (Docker/Kubernetes).
- Understanding of data governance, API product management, and versioning standards.
- Strong communication skills and ability to collaborate with global teams.
Desired Skills
- Deep understanding of cloud architecture (compute, storage, networking, security, cost optimization).
- Experience tuning complex SQL/Spark queries and pipelines for performance.
- Hands-on experience with Lakehouse solutions using Azure Databricks, ADLS, PySpark.
- Familiarity with OOP, asynchronous programming, batch processing, and CI/CD workflows.
- Knowledge of DevOps best practices, Git, and modern data engineering frameworks.
Why Join Kroll?
- Be part of a forward-thinking global data practice integrating AI, ML, and analytics.
- Work with teams supporting the world’s largest financial institutions, law enforcement, and government agencies.
- Collaborate in a supportive, diverse, and innovative environment that promotes career growth.
- Contribute to cutting-edge data engineering solutions in a global advisory firm.
Apply Now
Interested candidates can apply for the Senior Data Engineer position via Kroll’s official careers portal: