Job Title: Senior Data Engineer Type: Full-time; Remote Schedule: US Time zone Industry: Fashion/Lifestyle Job Overview We are looking for a Senior Data Engineer to help build and scale our modern data platform. This hands-on role involves developing robust data pipelines, modeling data for analytics, and working closely with business and engineering teams. You will work with industry-leading tools such as Snowflake, DBT, FiveTran, and AWS services to create efficient and scalable data solutions. Responsibilities - Design, build, and maintain scalable ELT/ETL pipelines (FiveTran, DBT, Python,Snowpipe) in Snowflake. - Integrate workflows using AWS services (S3, Lambda, Glue, Athena, CloudWatch). - Administer and optimize Snowflake (user roles, warehouse sizing, access, performance). - Develop and maintain dimensional/normalized data models in Snowflake. - Implement data transformation logic with DBT and SQL for accuracy and maintainability. - Transform raw data into reliable datasets for analytics and operations. - Collaborate with teams to understand data requirements and deliver solutions. - Ensure high data quality, consistency, and security. - Monitor and troubleshoot pipelines, implementing logging/alerting. - Participate in code reviews, documentation, and promote data engineering best practices. Preferred Qualifications - Exposure to Shopify, NetSuite, or Segment. - Experience with Python and Looker or other BI Visualization tools is preferred - Experience in e-commerce, SaaS, or financial analytics environments. - Familiarity with orchestration tools such as Airflow, Dagster, or similar frameworks.

Job Title: Senior Data Engineer Type: Full-time; Remote Schedule: US Time zone Industry: Fashion/Lifestyle Job Overview We are looking for a Senior Data Engineer to help build and scale our modern data platform. This hands-on role involves developing robust data pipelines, modeling data for analytics, and working closely with business and engineering teams. You will work with industry-leading tools such as Snowflake, DBT, FiveTran, and AWS services to create efficient and scalable data solutions. Responsibilities - Design, build, and maintain scalable ELT/ETL pipelines (FiveTran, DBT, Python,Snowpipe) in Snowflake. - Integrate workflows using AWS services (S3, Lambda, Glue, Athena, CloudWatch). - Administer and optimize Snowflake (user roles, warehouse sizing, access, performance). - Develop and maintain dimensional/normalized data models in Snowflake. - Implement data transformation logic with DBT and SQL for accuracy and maintainability. - Transform raw data into reliable datasets for analytics and operations. - Collaborate with teams to understand data requirements and deliver solutions. - Ensure high data quality, consistency, and security. - Monitor and troubleshoot pipelines, implementing logging/alerting. - Participate in code reviews, documentation, and promote data engineering best practices. Preferred Qualifications - Exposure to Shopify, NetSuite, or Segment. - Experience with Python and Looker or other BI Visualization tools is preferred - Experience in e-commerce, SaaS, or financial analytics environments. - Familiarity with orchestration tools such as Airflow, Dagster, or similar frameworks.

Job Title: Senior Data Engineer Type: Full-time; Remote Schedule: US Time zone Industry: Fashion/Lifestyle Job Overview We are looking for a Senior Data Engineer to help build and scale our modern data platform. This hands-on role involves developing robust data pipelines, modeling data for analytics, and working closely with business and engineering teams. You will work with industry-leading tools such as Snowflake, DBT, FiveTran, and AWS services to create efficient and scalable data solutions. Responsibilities - Design, build, and maintain scalable ELT/ETL pipelines (FiveTran, DBT, Python,Snowpipe) in Snowflake. - Integrate workflows using AWS services (S3, Lambda, Glue, Athena, CloudWatch). - Administer and optimize Snowflake (user roles, warehouse sizing, access, performance). - Develop and maintain dimensional/normalized data models in Snowflake. - Implement data transformation logic with DBT and SQL for accuracy and maintainability. - Transform raw data into reliable datasets for analytics and operations. - Collaborate with teams to understand data requirements and deliver solutions. - Ensure high data quality, consistency, and security. - Monitor and troubleshoot pipelines, implementing logging/alerting. - Participate in code reviews, documentation, and promote data engineering best practices. Preferred Qualifications - Exposure to Shopify, NetSuite, or Segment. - Experience with Python and Looker or other BI Visualization tools is preferred - Experience in e-commerce, SaaS, or financial analytics environments. - Familiarity with orchestration tools such as Airflow, Dagster, or similar frameworks.

• Act in the assessment and evolution of data architecture • Identify architecture and scalability gaps • Support data governance • Propose improvements to the analytics platform • Provide technical support in consolidating recommendations