Azure Data Engineer

1 week ago

Bengaluru, Karnataka, India CoStrategix Full time ₹ 15,00,000 - ₹ 25,00,000 per year

About the Role:

We are looking for an experienced
Data Engineer
to join our data engineering team. You will be responsible for designing, developing, and maintaining data pipelines and data platforms on Azure using modern tools and services including
Azure Data Factory, Python notebooks, Azure Functions
, and
Data Warehouses
. Your focus will be on building scalable, reliable, and secure data workflows that empower analytics and business intelligence.

Note:
Candidates who are currently serving their notice period or are available to join immediately will be given preference. The position is based in Bangalore and follows a hybrid work model

**.

Key Responsibilit**

  • ieDesign and develop scalable ETL/ELT pipelines us
    ing Azure Data Factory (
    AD
  • F)Implement data integration from diverse sources into centrali
    zed data warehouses or lakeho
    uses (e.g., Fabric OneLake, Synaps
  • e)Build and operational
    ize Python noteb
    ooks for data transformation, enrichment, and machine learning preparati
  • onDevelop and dep
    loy Azure Function
    Apps for lightweight compute tasks, API integration, or orchestrati
  • onCollaborate with analysts and business stakeholders to deliver high-quality, trustworthy data mode
  • lsImplement best practices
    in data governance, security, version control, and C
    I/CD for data pipelin
  • esMonitor pipeline performance and ensure high availability and reliability of data servi

ceContribute to architecture discussions and continuous improvement of the data platfor

**m.

Required Skills & Exp**
erien

  • ce:4+ years of hands-on experience in data engineer
  • ing Must Have Azure Data Factory (ADF) & DataBri
  • cksMust Have Pyth
  • on Data Warehousing
    concepts and tools (e.g., Synapse SQL, Snowflake, FabricD
  • WH)Strong SQL skills for data extraction, transformation, and modeli
  • ng.Good understanding of modern data architectures: medallion architecture, lakehouse, and data mesh principl

es.

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