Cloud Engineer | 5 To 10 Years | Pan India

Year    Pune, Maharashtra, India

Job Description

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  • Hands-on experience in creating data warehouse, Data lakes, ETL/ELT, Data pipelines, and reporting/analytic tools and environment
  • At-least 2 full life cycle implementation starting from conceptualization, design, architecture to delivery
  • Proficiency in at least 1 of theses - AWS, Azure, GCP
  • Strong hands-on experience on AWS or Azure (E.g. Amazon Athena, Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon Elasticsearch Service, AWS Glue, Quicksight, Azure Synapse, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, PowerBI)
  • Guide architectural choices using various cloud services and solution methodologies.
  • Scripting experience with Python, Unix/Linux Shell scripting, etc.
  • Understand existing architecture and develop plans to support the growth in the cloud adoption. Must understand networking, security, design principles and best practices in cloud.


Primary Skills


  • Proficiency in at least 1 of theses - AWS, Azure, GCP
  • Strong hands-on experience on AWS or Azure (E.g. Amazon Athena, Amazon EMR, Amazon Redshift, Amazon Kinesis, Amazon Elasticsearch Service, AWS Glue, Quicksight, Azure Synapse, Azure Data Lake Storage, Azure Data Factory, Azure Databricks, PowerBI)
  • Good Knowledge and hands on experience in Python or Pyspark and SQL.


Secondary Skills


  • Excellent interpersonal and written and verbal communication skills
  • Willingness to learn/explore new technologies as and when required.

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Job Detail

  • Job Id
    JD3144666
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Pune, Maharashtra, India
  • Education
    Not mentioned
  • Experience
    Year