Snowflake Developer/Data Engineer

Job Description: As a Snowflake Developer/Data Engineer, your role will involve utilizing your 2+ years of data engineering experience, with a focus on practical usage of Snowflake for various Data Engineer tasks. You should possess a working knowledge of Restful APIs, SQL, semi-structured datasets, and cloud native concepts. Additionally, experience with ELT tools such as Fivetran, Qlik replicate, Matillion, and DBT will be beneficial. Your responsibilities will include creating stored procedures and UDFs in Snowflake, as well as leveraging Snowpark with Python. You will be expected to source data from Data Lakes, APIs, and on-premises locations, transform and replicate data across cloud platforms, and design end-to-end near real-time streams. Evaluating performance metrics and designing scalable compute solutions for Data Engineer workloads will also be key aspects of your role. Qualifications Required: - 2+ years of data engineering experience, specifically with Snowflake - Working knowledge of Restful APIs, SQL, semi-structured datasets, and cloud native concepts - Experience with ELT tools like Fivetran, Qlik replicate, Matillion, and DBT - Proficiency in creating stored procedures and UDFs in Snowflake - Familiarity with Snowpark using Python - Ability to source data from Data Lakes, APIs, and on-premises sources - Expertise in transforming, replicating, and sharing data across cloud platforms - Experience in designing end-to-end near real-time streams - Capability to design scalable compute solutions for Data Engineer workloads As an additional detail, the company may be working with AWS services, which would be a good-to-have knowledge for this role. Job Description: As a Snowflake Developer/Data Engineer, your role will involve utilizing your 2+ years of data engineering experience, with a focus on practical usage of Snowflake for various Data Engineer tasks. You should possess a working knowledge of Restful APIs, SQL, semi-structured datasets, and cloud native concepts. Additionally, experience with ELT tools such as Fivetran, Qlik replicate, Matillion, and DBT will be beneficial. Your responsibilities will include creating stored procedures and UDFs in Snowflake, as well as leveraging Snowpark with Python. You will be expected to source data from Data Lakes, APIs, and on-premises locations, transform and replicate data across cloud platforms, and design end-to-end near real-time streams. Evaluating performance metrics and designing scalable compute solutions for Data Engineer workloads will also be key aspects of your role. Qualifications Required: - 2+ years of data engineering experience, specifically with Snowflake - Working knowledge of Restful APIs, SQL, semi-structured datasets, and cloud native concepts - Experience with ELT tools like Fivetran, Qlik replicate, Matillion, and DBT - Proficiency in creating stored procedures and UDFs in Snowflake - Familiarity with Snowpark using Python - Ability to source data from Data Lakes, APIs, and on-premises sources - Expertise in transforming, replicating, and sharing data across cloud platforms - Experience in designing end-to-end near real-time streams - Capability to design scalable compute solutions for Data Engineer workloads As an additional detail, the company may be working with AWS services, which would be a good-to-have knowledge for this role.