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Job Description & How to Apply Below
Snowflake Developer/Engineer
A data architecture professional focuses upon collecting information and maintaining proper methodologies for gathering data. He or she also seeks to optimize the way in which organizations analyse information and leverage it. Data architects' skills must allow them to have one eye on big-picture strategy while also focusing on solving sophisticated data-related problems.
Data architecture touches all data professionals in one way or another. Data architects must define an company's data strategy and vision. In turn, data engineers, data analysts and data scientists operated within the data processing framework.
Major Accountabilities:
Minimal 4+ years' experience in data warehousing/Data built tool.
Must have hands-on experience in Snowflake implementation
Experience in implementing large-scale data intelligence solutions around Snowflake Data Warehouse.
Worked on migration of data analytics environment from SAP data ware house to Snowflake with performance and reliability.
Developing ETL pipelines in and out of data warehouse using a combination of Python and Snowflakes SQL and Data Build Tool.
Design solution leveraging Snowflake native capabilities
Should have experience in working with structured and unstructured data, especially from IOT sensors, Manufacturing PLCs etc.
Lead data analytics team for implementing the standard methodologies.
Experience with Business Requirements definition and management, structured analysis, process design, use case documentation
Experience in reporting tools like Tableau / Power BI etc is preferable.
Collaborating within a project team to solve complex problems
Skills (Must Have):
Minimum 4+ years' experience in Snowflake
Minimum 2+ years of experience working in Cloud platforms, preferably on Azure or AWS.
Understand of Snowflake roles and user security.
Understand of Snowflake capabilities like Snowpipe, STREAMS, SQL etc.
Preferring only Immediate joiners.
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