[ref. g16027600] Data Engineer
Itajaí
Data Engineer - We bridge the gap between global talent and US-based businesses, connecting candidates from vibrant regions like Latin America, the Philippines, India, Pakistan, Bangladesh, and Africa with leading American companies.
The team is mission-oriented, innovative, and collaborative, with a culture that values resourcefulness, ownership, and precision.
This role is ideal for someone who thrives in ambiguity, enjoys solving problems independently, and wants to make a direct impact through automation and data integrity.
Key Responsibilities: Build and maintain scalable data pipelines from sources like Mindbody Online, FranConnect, Meta, Google, LeadsBridge, and FiveTran into Snowflake.
Transform, clean, and integrate raw data to support business intelligence efforts (primarily Tableau dashboards).
Design and optimize ETL workflows using tools like FiveTran and Snowflake.
Ensure data accuracy and integrity through validation and monitoring processes.
Model and structure data within Snowflake for reporting and analysis.
Troubleshoot and optimize pipeline performance to ensure reliability and scalability.
Support business users with data access and integration across tools.
Document pipelines and processes to support collaboration and onboarding.
Implement data security and access controls within Snowflake.
Strong understanding of ETL concepts and tools (e.
g.
, FiveTran, Airflow, Talend).
Familiarity with data visualization tools (e.
g.
, Tableau).
Python experience for automation and scripting.
Solid understanding of data governance, quality, and security best practices.
Ability to work independently and problem-solve in ambiguous environments.
Discover a world of career possibilities with Sagan.
About the Company: Sagan represents a fast-growing health and wellness brand with a strong focus on data-driven decision-making.The team is mission-oriented, innovative, and collaborative, with a culture that values resourcefulness, ownership, and precision.
Position Overview: Were seeking a hands-on, technically strong Data Engineer to build and optimize scalable data pipelines across a modern data stack.
Youll take ownership of pipeline architecture, manage data integrations across multiple sources, and ensure clean, reliable data is available for analytics and decision-making.This role is ideal for someone who thrives in ambiguity, enjoys solving problems independently, and wants to make a direct impact through automation and data integrity.
Key Responsibilities: Build and maintain scalable data pipelines from sources like Mindbody Online, FranConnect, Meta, Google, LeadsBridge, and FiveTran into Snowflake.
Transform, clean, and integrate raw data to support business intelligence efforts (primarily Tableau dashboards).
Design and optimize ETL workflows using tools like FiveTran and Snowflake.
Ensure data accuracy and integrity through validation and monitoring processes.
Model and structure data within Snowflake for reporting and analysis.
Troubleshoot and optimize pipeline performance to ensure reliability and scalability.
Support business users with data access and integration across tools.
Document pipelines and processes to support collaboration and onboarding.
Implement data security and access controls within Snowflake.
Stay proactive in adapting infrastructure to new data sources or evolving business needs.
Qualifications: Proficiency in SQL for data transformation, cleaning, and querying.
Experience working with Snowflake (or a similar cloud data warehouse).Strong understanding of ETL concepts and tools (e.
g.
, FiveTran, Airflow, Talend).
Familiarity with data visualization tools (e.
g.
, Tableau).
Python experience for automation and scripting.
Solid understanding of data governance, quality, and security best practices.
Ability to work independently and problem-solve in ambiguous environments.
Comfortable collaborating cross-functionally with analysts and business teams.
Nice-to-Haves: Experience with Mindbody Online, FranConnect, or LeadsBridge.
Prior experience supporting health or wellness-focused companies.Familiarity with cloud platforms like AWS, GCP, or Azure.
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