Senior Data Engineer
Location: Philippines, India, Pakistan, Argentina
Department: AT1B
Workplace: remote
Employment Type: full
Description
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.
Requirements
- B.S./M.S. in Computer Science or related field.
- 5-7 years in software development, 5+ in data/analytics engineering.
- Expertise in Snowflake, DBT, FiveTran, and SQL in production.
- Experience designing/managing AWS data pipelines.
- Strong problem-solving, communication, and cross-functional skills.
- Knowledge of data governance, performance tuning, and security.
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