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UG :- - Not Required
PG :- - Not Required
No of position :- ( 1 )
Post :- 20th Mar 2024
Major Responsibilities:
Experience designing and developing Enterprise Data Warehouse solutions.
Demonstrated proficiency with Data Analytics, Data Insights
Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process
Leverage SQL, programming language (Python or similar) and/or ETL Tools (Azure Data Factory, Data Bricks, Talend and SnowSQL) to develop data pipeline solutions to ingest and exploit new and existing data sources.
Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards.
Skills:
8+ years of experience in Enterprise Data Management
6+ years of experience in SQL Server based development of large datasets
1+ years experience in Data Architecture
2+ years Python coding experience
Good experience in Data Visualization tools
Hands-on experience with Snowflake utilities such as SnowSQL and SnowPipe
Working knowledge of MS Azure configuration items with respect to Snowflake.
Hands-on experience with Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing
Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.
Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills
Capable of discussing enterprise level services independent of technology stack
Experience with Cloud based data architectures, messaging, analytics
Cloud certification(s) is a big plus
Financial Domain experience is must
Any experience with Regulatory Reporting is a Plus