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Azure Senior Data Engineer

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

Job Description

Greetings from TCS!!!
TCS presents an excellent opportunity for Azure Senior Data Engineer

Role: Azure Senior Data Engineer

Desired Experience Range: 8-12 years

Location- Chennai, Bangalore, Kolkata, Pune, Hyderabad, Delhi.

Job Requirements -

  • You contribute to the design and implementation of the Azure data platform.
  • You develop and deploy end-to-end data applications leveraging the Azure data platform.
  • You have experience with ADF, Azure data analytics services (Data Factory, ADLS, Synapse, SQL Server, Databricks, ML).
  • You are familiar with data technologies (Pyspark, python/pandas, SQL).
  • You have knowledge of state-of-the-art software engineering best practices and tools (Git, CI/CD, tests, Pipelines, Bitbucket, Jenkins, Azure DevOps,ADF).
  • You are familiar with Infrastructure-as-Code (Terraform).
  • You have experience in handling migrations from legacy DW platforms to Azure Data Platform
  • You have knowledge of SAP systems and should be able to use appropriate SAP Connectors and SAP DW experience to integrate SAP data to Azure Data Platform.
  • You work with Data Architects and Platform Architects to ensure your work is aligned with aligned with the requirements and architecture.
  • You work with the Security & Infrastructure teams to ensure data assets and data products are integrated and secured.
  • You work independently, prioritize multiple stakeholders and tasks, and manage work time effectively.
  • You have Strong analytic skills related to working with unstructured datasets
  • You participate in the definition of standards, guidelines and best practices and make sure to respect them.
  • You remain up to date with latest trends and technologies and identify potential impact of market trends in your tasks.

Roles & Responsibilities-

  • Developing and deploying synapse data pipelines in Azure cloud
  • Analyze, develop and implement database designs, data models and logical data specifications
  • Data transformation skills using the pyspark notebooks and databricks workspace/synapse spark pool.
  • Code quality, security, performance measure.
  • Troubleshooting and debugging.

Skills

  • microsoft-azure
  • azure-data-factory
  • azure-synapse
  • azure-databricks
  • databricks
  • pyspark
  • Python
  • Pandas
  • Bitbucket
  • Jenkins
  • azure-pipelines
  • azure-devops
  • Terraform
  • sap
  • workspace
  • Spark

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