Job description Having 3+ years of Relevant experience in working with Snowflake cloud data warehouse and exposure to AWS S3. Implementing SCD Techniques like slowly changing dimensions (type1, type2 and type3). Experience in working with AWS S3 and Snowflake cloud data warehouse. Good exposure in Snowflake Cloud Architecture and SnowSQL and SNOWPIPE for continuous data ingestion. Handling large and complex data sets like JSON, ORC, PARQUET, CSV files from various sources like AWS S3. Hands-on experience in bulk loading and unloading data into Snowflake tables. Experience in writing complex SQL scripts using Statistical Aggregate functions and Analytical functions to support ETL in snowflake cloud data warehouse. Used COPY/INSERT,PUT,GET commands for loading data into Snowflake tables from internal,external stages. Experience with performance tuning of SnowFlake data warehouse with Query Profiler, Caching and Virtual data warehouse scaling Extensively worked in ETL process consisting of data transformation, data sourcing, mapping, conversion and loading. Hands on exp loading to snowflake. Knowledge on redshift (Good to have) Knowledge on AWS EC2, lambda Strong Datawarehouse exp Good to have python Should strong on SQL quries Kafka not mandatory, good to have.
Role: Snowflake Data Engineer Location: -Dallas TX (day 1 Onsite)
