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Home
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MindBrain
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Azure Data Engineer

Azure Data Engineer

MindBrain

7 years

0 Lacs

India

Posted:1 day ago| Platform:

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Skills Required

azure data healthcare duration etl pipeline analytics architecture design pyspark storage ehr security compliance power agile databricks programming sql python apache devops github

Work Mode

Remote

Job Type

Contractual

Job Description

Job Title:

Location:

Contract Type:

Experience Required:

Duration:

Start Date:

About the Role

Azure Data Engineer

Key Responsibilities

Design, develop, and maintain
Azure Data Factory
pipelines for ETL workflows.
Build and optimize
PySpark/Databricks
scripts for large-scale healthcare data processing.
Create and manage
data lake
and
data warehouse
solutions using Azure Data Lake Storage Gen2 and Azure Synapse Analytics.
Integrate data from healthcare-specific sources such as EHR/EMR systems, HL7/FHIR APIs, and other medical data feeds.
Implement
Delta Lake
for optimized big data storage and querying.
Ensure
data security, HIPAA compliance, and governance
in all data workflows.
Collaborate with BI teams to deliver analytical dashboards in
Power BI
for healthcare insights and reporting.
Participate in
Agile/Scrum
ceremonies and maintain detailed technical documentation.

Required Skills & Qualifications

7+ years of experience in
Data Engineering
, with at least 3 years in
Azure Cloud
.
Mandatory:
Minimum 2+ years of experience in
healthcare domain projects
with exposure to healthcare standards (HIPAA, HL7, FHIR, ICD codes).
Proficiency in
Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage
.
Strong programming skills in
SQL, Python, and PySpark
.
Experience in
data modeling
(Star/Snowflake schema) and
data warehousing concepts
.
Hands-on experience with
Delta Lake, Apache Spark
, and
distributed data processing
.
Familiarity with
CI/CD
tools like Azure DevOps or GitHub Actions.
Strong problem-solving skills and ability to work independently in a remote environment.

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