Senior Data Engineer & Client Liaison, Azure Databricks

EXL Talent Acquisition Team

New York (NY)

Remote

USD 167,000 - 175,000

Full time

3 days ago
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Job summary

EXL Talent Acquisition Team seeks a senior data engineer to lead end-to-end initiatives, including Azure Databricks development and PySpark migration for scalable data integration in digital engagement.

You will serve as the primary liaison for clients and cross-functional teams, driving automation with Python and SQL, ensuring HIPAA/OIG compliance, and guiding data sourcing and analytics for member insights.

Qualifications

  • Requires a Bachelor's degree in Electronics and Communications, Computer Science, or a technology related field.
  • Ten years of experience in the healthcare industry.
  • Three years of experience in Azure Databricks, Azure Synapse Analytics, Azure Data Factory, PySpark, Oracle SQL, MS SQL, DB2, SSIS.

Responsibilities

  • Drive end-to-end data engineering initiatives including Azure Databricks development and PySpark migration.
  • Act as single point of contact for client interactions, team management and cross-functional collaboration.
  • Cascade client requirements across developers and spearhead automation with Python, SQL, PySpark and Azure Data services.
  • Ensure quality control and performance evaluation across teams while maintaining HIPAA/OIG compliance.
  • Lead stakeholder alignment and strategic data sourcing to power analytics for digital adoption.

Skills

Python
Pyspark
SQL

Education

Bachelor’s degree in Electronics and Communications, Computer Science, or a technology related field

Tools

Azure Databricks
Azure Synapse Analytics
Azure Data Factory
PySpark
Oracle SQL
MS SQL
DB2
SSIS
SQL

Job description

EXL Talent Acquisition Team seeks a senior data engineer to lead end-to-end initiatives, including Azure Databricks development and PySpark migration for scalable data integration in digital engagement.

You will serve as the primary liaison for clients and cross-functional teams, driving automation with Python and SQL, ensuring HIPAA/OIG compliance, and guiding data sourcing and analytics for member insights.

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