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.
Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.