Solid experience in architecting and designing large-scale data solutions
Proficient in writing SQL queries for Snowflake
Hands-on experience with Snowflake utilities and features
In-depth knowledge of Data Warehouse/ODS and ETL concepts
Experience with AWS terraform
Responsibilities
Support data intelligence solutions surrounding Snowflake Data Warehouse
Architect and operationalize large-scale data and analytics solutions
Write and optimize SQL queries and develop Python scripts for ETL
Utilize Snowflake utilities for data management tasks
Analyze system requirements and gather relevant data
Develop ETL pipelines for data integration with Snowflake
Benefits
Hybrid work environment in Seattle, WA
Opportunity to work on cutting-edge data solutions
Potential for career advancement in a growing field
Collaborative team culture focused on innovation
Access to the latest tools and technologies in data warehousing
Full Job Description
Software Developer (Snowflake and AWS MAHIN--JOB-31743 Job Title : Software Developer (Snowflake and AWS) Location : Seattle, WA (Hybrid) Experience : 10+ Years Job Description:
At least 10+ years of software development experience, and minimum 2 years of experience on Snowflake development in AWS
Snowflake data engineers will be responsible for supporting data intelligence solutions around Snowflake Data Warehouse.
A solid experience and understanding of architecting, designing and operationalization of large-scale data and analytics solutions on Snowflake Cloud Data Warehouse is a must.
Snowflake SQL Writing SQL queries against Snowflake, developing scripts in python to do Extract, Load, and Transform data
Hands-on experience with Snowflake utilities such as Snow SQL, Snow Pipe, Python, Tasks, Streams, Time travel, Optimizer, Metadata Manager, data sharing, and stored procedures.
In-depth understanding of Data Warehouse/ODS, ETL concept and modelling structure principles
Understanding data transformation and translation requirements and which tools to leverage to get the job done
Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modelling.
Experience gathering and analyzing system requirements
Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflakes Snow SQL Writing SQL queries against Snowflake
