Description
- Minimum 8 years of experience in Data Management and specialized in Analytical data warehouse.
- Minimum 3 years hands on experience with Snowflake cloud warehouse and its features.
- Good knowledge on cloud AWS architecture and its services.
- Experience in creating and analyzing SQL and PL / SQL procedures for data integration.
- Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflake SQL. Developing scripts using Unix shell to do Extract and Load data.
- Good understanding of logical and physical data models to support analytics and business intelligence.
- Experience in creating SQL based processes to build slowly changing dimension and various type of facts.
- Experience in Data Lineage Analysis, Data Profiling Mapping Integration, ETL Validation Cleansing Masking Sub setting, Profiling Archiving, Purging Virtualization, Metadata Management, Performing Unit Test, System integration test Support, UAT.
- Involve SQL performance tuning, Root causing failures and bifurcating them into different technical issues and resolving them.
- Engaged in project using Agile methodology and documentation using Jira
- Strong verbal and written communication skills.
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