Senior Data Engineer

EXL; Dadri; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

EXL is seeking a Data Engineer specializing in Databricks Lakehouse architectures to design scalable healthcare data platforms. You will build secure data pipelines, integrate diverse healthcare sources, and implement governance and data quality measures.

The role emphasizes PySpark/SQL development, cloud platform experience (Azure/AWS/GCP), and collaboration with data scientists, analysts, and product owners to drive robust analytics solutions.

Qualifications

• Experience with Databricks and Lakehouse architecture.
• Proficiency in PySpark and SQL for data processing.
• Knowledge of data governance, HIPAA, and PHI/PII protections.
• Familiarity with cloud platforms (Azure, AWS, GCP) and data orchestration.
• Experience designing scalable, secure data platforms for healthcare analytics.

Responsibilities

• Design and lead Databricks Lakehouse solutions for large-scale healthcare data platforms.
• Develop and optimize Delta Lake, Unity Catalog, and Databricks workflows.
• Build robust ETL/ELT pipelines using PySpark and SQL.
• Ensure data quality, lineage, and governance frameworks.
• Collaborate with stakeholders to define standards and best practices.

Skills

PySpark

SQL

Data governance

Agile/Scrum

Data modeling

CI/CD

DevOps

Healthcare domain knowledge

Cloud platforms

Tools

Databricks

Delta Lake

Unity Catalog

Databricks Workflows

Delta Live Tables/Lakeflow

Azure

AWS

GCP

Job description

We are looking for a Data Engineer with strong expertise in Databricks, data engineering, and healthcare data. The ideal candidate will be responsible for designing scalable, secure, and high-performance data platforms supporting healthcare analytics and data integration.

The candidate should have strong knowledge of modern data architecture, Lakehouse architecture, SQL, Python, data governance, and healthcare domain workflows.

Responsibilities

• Design and lead Databricks Lakehouse for large-scale healthcare data platforms.
• Design data ingestion, transformation, storage, and consumption patterns using Databricks.
• Develop Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables/Lakeflow.
• Integrate data from multiple healthcare sources, including clinical, claims, eligibility, provider, and patient systems.
• Design robust ETL/ELT pipelines using PySpark, SQL, and Databricks.
• Establish data quality, validation, reconciliation, lineage, and governance frameworks.
• Design secure healthcare data solutions while considering HIPAA and PHI/PII protection requirements.
• Work with cloud platforms such as Azure, AWS, or GCP to build scalable data solutions.
• Collaborate with data engineers, data scientists, analysts, product owners, and business stakeholders.
• Define technical standards, architectural patterns, and best practices for Databricks development.
• Lead performance optimization and cost-management initiatives across the Databricks platform.
• Provide technical leadership and mentoring to data engineering teams.
• Participate in Agile ceremonies and contribute to technical planning and roadmap discussions.

Qualifications

• Strong hands-on experience with Databricks.
• 3-6 years of Experience in Databricks
• Expertise in Lakehouse architecture and Delta Lake.
• Strong PySpark and SQL skills.
• Experience with Unity Catalog and data governance.
• Strong knowledge of ETL/ELT and data modeling.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Experience with data integration and orchestration tools.
• Knowledge of CI/CD, Git, and DevOps practices.
• Strong understanding of data security and access control.
• Experience with Agile/Scrum methodologies.