Experience in real time streaming frameworks like Apache Storm.Help talent acquisition team in hiring quality engineers.Mentor and train junior team members and ensure coding standard is followed across the project.Operationalize data ingestion, data transformation and data visualization for enterprise use.Have good Knowledge in ETL and hands on experience in ETL.Performance tuning of Big Data workloads.Develop transformation logic using snowpipeline.Designs batch cycle procedures on major projects using scripting and Control.Coding for Stored Procedures/ Triggers.Worked with cloud architect to set up the environment.Define virtual warehouse sizing for Snowflake for different type of workloads.In-depth knowledge of Snowflake Database, Schema and Table structures.Define roles, privileges required to access different database objects.Build the Logical and Physical data model for snowflake as per the changes required.In-depth understanding of Data Warehouse/ODS, ETL concept and modeling structure principles.Extensive experience in developing complex stored Procedures/BTEQ Queries.Experience in various methodologies like Waterfall and Agile.Participates in the development improvement and maintenance of snowflake database applications.
Experience in various data ingestion patterns to hadoop.Experience in using Snowflake Clone and Time Travel.Experience with Snowflake cloud data warehouse and AWS S3 bucket for integrating data from multiple source system which include loading nested JSON formatted data into snowflake table.Understanding of SnowFlake cloud technology.Experience with Snowflake Multi - Cluster Warehouses.Participate in design meetings for creation of the Data Model and provide guidance on best data architecture practices.Experience in analyzing data using HiveQL.Work with domain experts, engineers, and other data scientists to develop, implement, and improve upon existing systems.Strong experience in migrating other databases to Snowflake.Total 9+ hands on experience with building product ionized data ingestion and processing pipelines using Java, Spark, Scala etc and also experience in designing and implementing production grade data warehousing solutions on large scale data technologies.
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