Activate Talent

Senior Data Engineer

  • Activate Talent
  • Remote India
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Job 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.