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Big Data Engineer
Posted On: 15+ days ago
Experience: 8+ years
Availability: Hybrid
Openings: 1
Category: Big Data Engineer
Tenure: No Preference/Any
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Description

You will design and implement high-performance data ingestion and transformation pipelines within the Azure ecosystem.

This role is on-site.

Responsibilities

  • Build scalable, reusable frameworks for ingesting and transforming large datasets from multiple sources.
  • Develop data lakes and warehouses to support operational and business intelligence.
  • Integrate end-to-end data pipelines from source systems to target repositories while maintaining data quality.
  • Optimize and tune data processes to ensure efficiency.

Required Skills

  • 8+ years of IT industry experience.
  • 5 to 7 years designing ingestion and transformation pipelines using Databricks, ADF, and Azure Pipelines.
  • 3 to 5 years with Azure Synapse, IoT Hub, Event Hub, and Streaming Analytics.
  • 3 to 5 years using GitHub or other code repositories.
  • Strong programming proficiency in Python and SQL.
  • Experience with orchestration tools such as Airflow.
  • Deep understanding of Azure Cloud Architecture.
  • Experience with SAP and non-SAP ERP systems, specifically within Order2Cash and Procure2Pay domains.

Education

Any Graduate

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