Note: The job is a remote job and is open to candidates in USA. EXL is seeking an experienced Senior Data Engineer to join its healthcare analytics team. The role focuses on designing and implementing scalable Databricks and cloud-based data solutions, leading technical solution design, and delivering data platforms for analytics, reporting, and operational decision-making.
Responsibilities
- Design and implement scalable data solutions using Databricks Lakehouse architecture
- Develop and optimize batch and real-time data pipelines for large-scale data processing
- Lead technical solution design for data integration, transformation, and analytics workloads
- Collaborate with business stakeholders, data engineers, analysts, and product teams to translate requirements into technical solutions
- Implement data governance, security, and data quality best practices using Unity Catalog and related technologies
- Optimize performance, reliability, and cost efficiency of Databricks workloads
- Support data warehouse modernization and cloud migration initiatives
- Create architecture documentation, technical standards, and design guidelines
- Troubleshoot complex data platform issues and provide technical recommendations
- Stay current with Databricks and cloud platform capabilities and drive adoption of best practices
Skills
- • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field
- • Minimum 5 years of experience in data engineering, data architecture, or related technical roles
- • Hands-on experience with Databricks in enterprise environments
- • Strong knowledge of PySpark, Spark SQL, Python, and SQL
- • Experience designing and implementing Lakehouse architectures
- • Experience building scalable ETL/ELT data pipelines
- • Strong understanding of data modeling, data warehousing, and analytics platforms
- • Experience working with structured and unstructured data
- • Strong problem-solving and communication skills
- • Ability to work independently in a remote environment
- • Experience implementing data governance and security frameworks
- • Databricks Certified Data Engineer Associate
- • Databricks Certified Data Engineer Professional
- • Experience in the healthcare industry, including claims, clinical, provider, member, or revenue cycle data
- • Experience with Azure, AWS, or GCP cloud platforms
- • Exposure to machine learning and AI/ML workloads on Databricks
- • Cloud platform certifications (Azure, AWS, or GCP)
Benefits
- Full-time employment
- Remote position based in the United States
Company Overview