Job Description

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• •Hands-on experience in Data migration, data architect, ETL pipelines build and deployment •
• •Hands on experience in designing and implementation of solution architecture for at-least 2 full cycles in any cloud environment •
• •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 •
•Primary Responsibility •
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• •Strong hands-on experience on Data pipeline components leading to DB and/or reporting tools like A(mazon 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. •
• •Perform POC's on tools and provide recommendations to solve specific business needs •
• •Experience in any MPP databases- Redshift, Netezza, Teradata, Snowflake, Exasol would be an added advantage. •
• •Added adv - Knowledge of CI/CD •
• •Added adv - Exp for enterprise architect •
• •Added adv - Exp in Pre sales •
• •Added adv - Knowledge of Streaming data and its related architecture •