DATABRICKS ENGINEER

Job Description

Role:	Data bricks engineer
Experience:	5 - 8 yrs
Location:	All EXL Location
Work Mode:	Hybrid

We are looking for a skilled and passionate Databricks Engineer to design, build, and optimize enterprise-scale data lakehouse solutions on the Databricks platform. The successful candidate will be responsible for creating Databricks pipeline delivering Financial Crime platforms covering Anti-Money Laundering (AML), Know Your Customer (KYC), Customer Risk Assessment (CRA), Sanctions Screening, Transaction Monitoring, Fraud Detection, and Regulatory Reporting.

ROLES AND RESPONSIBILITIES:

• Deep technical depth in Databricks with the ability to architect and troubleshoot complex lakehouse systems.
• Strong problem-solving skills — ability to diagnose pipeline failures, performance bottlenecks, and data quality issues.
• Collaborative team player comfortable working with data engineers, ML engineers, and business stakeholders.
• Excellent documentation and communication skills for technical and non-technical audiences.
• Continuous learner — actively keeps pace with Databricks platform updates and the broader data/AI ecosystem.
• Delivery-oriented mindset with experience in Agile/Scrum delivery environments.

Experience:

• 4 - 6 years of total experience in data engineering or software engineering.
• 2+ years of dedicated hands-on experience with the Databricks platform in production environments.
• Strong background in big data engineering, cloud data platforms, and distributed computing.

EDUCATION:

Bachelor's or Master's degree in Computer Science, Engineering, or related field.