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Data Engineer

EXL

Data Engineer

Start Date

Starts  Immediately

CTC (ANNUAL)

Competitive salary Competitive salary

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Posted today

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About the job

Description

We are looking for a Senior Databricks 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 .
  • Expertise in Lakehouse architecture and Delta Lake.
  • Strong PySpark and SQL skills.
  • Experience with Unity Catalog and data governance.
  • Experience designing enterprise-scale data platforms.
  • 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.

Earn certifications in these skills

+ 5 more skills

Who can apply

Only those candidates can apply who:

1. have minimum -1 years of experience

Salary

Probation:

Duration:

Salary during probation:

After probation:

Annual CTC: Competitive salary

Number of openings

1

Editor’s note

Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.

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