Senior Data Engineer - Remote Opportunity

Careers Activate TalentRemote — Philippines

Remote Full-time

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Experience Level

Senior

Qualifications

Qualifications:Bachelor's or Master's degree in Computer Science or a related field. A strong background in software development and data engineering is essential, with 5-7 years of relevant experience. Proficiency in Snowflake, DBT, FiveTran, and SQL is required. Candidates should have expertise in designing and managing AWS data pipelines, along with strong problem-solving and communication skills.

About the job

Position: Senior Data Engineer

Employment Type: Full-time; Remote

Schedule: Aligns with US Time Zone

Industry: Fashion and Lifestyle

As a Senior Data Engineer, you will play a pivotal role in the development and expansion of our cutting-edge data platform. This hands-on position requires you to build reliable data pipelines, create data models for analytics, and collaborate closely with cross-functional teams across the business and engineering sectors. You will leverage top-tier technologies such as Snowflake, DBT, FiveTran, and various AWS services to develop effective and scalable data solutions.

Key Responsibilities:

Design, construct, and maintain scalable ELT/ETL pipelines using tools like FiveTran, DBT, Python, and Snowpipe within Snowflake.
Integrate workflows utilizing AWS services, including S3, Lambda, Glue, Athena, and CloudWatch.
Administer and optimize Snowflake environments, including user roles, warehouse sizing, access controls, and performance tuning.
Develop and maintain dimensional and normalized data models in Snowflake.
Implement data transformation logic with DBT and SQL to ensure accuracy and maintainability.
Convert raw data into reliable datasets for analytics and operational use.
Collaborate with other teams to gather data requirements and deliver appropriate solutions.
Ensure data quality, consistency, and security are upheld at all times.
Monitor and troubleshoot data pipelines, setting up logging and alerting systems.
Engage in code reviews, documentation, and promote best practices in data engineering.

Preferred Qualifications:

Familiarity with e-commerce platforms like Shopify, NetSuite, or Segment.
Experience with Python and BI visualization tools like Looker.
Background in e-commerce, SaaS, or financial analytics.
Knowledge of orchestration tools such as Airflow or Dagster.

Essential Requirements:

Bachelor's or Master's degree in Computer Science or a related field.
5-7 years of software development experience, with a minimum of 5 years in data or analytics engineering.
Proficient in using Snowflake, DBT, FiveTran, and SQL in a production environment.
Experience in designing and managing AWS data pipelines.
Strong problem-solving and communication skills, with the ability to work cross-functionally.
Knowledge of data governance, performance tuning, and security practices.

About Careers Activate Talent

Careers Activate Talent specializes in connecting top-tier professionals with industry-leading companies in the fashion and lifestyle sector. As a forward-thinking organization, we are committed to fostering a dynamic work environment that encourages innovation and growth.

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