4 - 8 years

17 - 25 Lacs

Posted:3 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Title:

About the Role

Azure Data Engineer

Key Responsibilities

  • Design, develop, and optimize scalable

    ETL/ELT pipelines

    to ingest, transform, and load healthcare data from multiple sources into data warehouses/lakes.
  • Build and maintain

    robust data models

    (e.g., star schema, snowflake schema) to support reporting, analytics, and ML initiatives.
  • Write

    optimized SQL queries

    and

    Python scripts

    for data cleansing, validation, transformation, and automation.
  • Ensure

    data integrity, quality, and governance

    , maintaining compliance with

    HIPAA and other regulatory requirements

    .
  • Collaborate with

    data scientists, ML engineers, and business stakeholders

    to understand data requirements and deliver effective solutions.
  • Monitor and troubleshoot pipeline performance, implementing enhancements for

    scalability and reliability

    .
  • Automate workflows using

    orchestration tools

    and integrate with

    CI/CD pipelines

    .
  • Contribute to evaluating and implementing

    new data tools and technologies

    .
  • Maintain thorough documentation of

    data pipelines, models, and flows

    .

Required Technical Skills

  • Programming:

    Strong proficiency in

    Python

    (data processing, automation).
  • Databases:

    Advanced

    SQL expertise

    , with hands-on experience in relational and NoSQL databases.
  • ETL/ELT:

    Proven experience designing and implementing scalable pipelines.
  • Azure Cloud:

    Hands-on experience with

    Azure Data Lake, Azure Synapse Analytics, Azure Data Factory

    , and related services.
  • Containerization:

    Familiarity with

    Docker

    for deploying data applications.
  • Version Control:

    Proficient with

    Git/GitHub

    for code management.
  • Testing:

    Experience using

    unittest / Pytest

    frameworks for pipeline validation.
  • CI/CD:

    Working knowledge of

    continuous integration and deployment

    in Azure environments.
  • Data Modeling:

    Strong understanding of

    data warehousing concepts and schema design

    .

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