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Job Closed

Walk-in || Azure Data Factory Developer & Lead

  • Source: Naukri
  • Tata Consultancy Services
  • On-site
  • Bengaluru
  • Full-Time
  • Senior

Job Description

Role & responsibilities

Experience - 5 to 15 Years

Required Skills:

  • Azure Data Factory: In-depth knowledge of ADF, including data integration, ETL development, and pipeline orchestration.
  • Azure Synapse Analytics: Strong understanding of Azure Synapse Analytics, including data warehousing, data modeling, and data querying.
  • Azure Data Services: Familiarity with Azure data services, including Azure Databricks, Azure Cosmos DB, and Azure Blob Storage.
  • Expertise in Azure Stream Analytics & Event Hubs
  • Programming: Proficiency in programming languages, including Python, PowerShell, or SQL.
  • Communication: Excellent communication and collaboration skills.

Preferred Skills:

  • Azure Certifications: Relevant certifications, such as Azure Data Engineer Associate or Azure Data Scientist Associate.
  • Cloud Experience: Experience with cloud-based data platforms, including AWS or Google Cloud.
  • Big Data: Experience with big data technologies, including Hadoop, Spark, or NoSQL databases.
  • Data Science: Experience with data science tools, including Python, R,

Drive Venue :

VenueAddress

HyderabadTCS Deccan Park, Plot No.1, Hitech City Main Road, 3N3, Software Units Layout, HUDA Techno Enclave, Madhapur,

Hyderabad 500081

KolkataTCS Delta Park – Lords Building, Tata Consultancy Services (TCS), Plot C, Block EP & GP, Salt Lake Electronics Complex, Sector V (Bidhannagar),Kolkata, West Bengal – 700091, India

ChennaiTCS - Magnum Block, Chennai One IT SEZ Phase-2, 200 Feet Radial Road, MCN Nagar Extension,Thoraipakkam, Chennai - 600097

Bengaluru -No.45, Yeshwanthpur Industrial Suburb,Tumkur Road, APMC Yard,Bangalore – 560022

Skills

  • microsoft-azure
  • azure-data-factory
  • azure-synapse
  • microsoft-azure-synapse
  • azure-synapse-analytics
  • azure-databricks
  • databricks
  • azure-cosmos-db
  • azure-storage
  • Python
  • powershell
  • amazon-web-services
  • google-cloud-platform
  • Hadoop
  • apache-hadoop
  • Spark
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