REF70689H Azure Data Engineer (3-7 yrs) Deputy Manager - RNA

Gurgaon, HR, India

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WNS Global Services

WNS is a digital-led business transformation services company that combines deep industry knowledge in technology, analytics and business process expertise to deliver transformational solutions for clients

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Company Description

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

Job Description

  • 3 to 5 years of experience in data engineering with Azure cloud services.
  • Strong expertise in Azure Data Factory (ADF) for pipeline orchestration.
  • Hands-on experience with Azure Event Hub for real-time data streaming.
  • Proficient in Python (PySpark, Pandas, scripting) and SQL for data processing
  • Extensive experience with Azure Databricks (Spark, Delta Lake) and Dbt
  • Experience with CI/CD, Git, and Infrastructure as Code (IaC)Familiarity with Snowflake
  • Exposure to Power BI
  • Knowledge of SQL, NoSQL, and data warehousing concepts.
  • Strong problem-solving and debugging skills.

Qualifications

Graduate/Post Graduate

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Azure Banking CI/CD Databricks Data Warehousing dbt Engineering Finance Git NoSQL Pandas Power BI PySpark Python Snowflake Spark SQL Streaming

Region: Asia/Pacific
Country: India

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