Data Engineer

You will provide the best service to our partner brands by performing these tasks:

Data Pipeline Design and Optimization

Design, build, and optimize end-to-end data pipelines — from ingestion to transformation and visualization — for marketing and business intelligence data.
Third-Party Tool Integration

Integrate 3rd party tools and platforms (e.g., CRMs, MarTech platforms, custom apps) using APIs, webhooks, and other advanced integration methods.
ETL/ELT Development and Maintenance

Develop, improve, and maintain ETL/ELT workflows to ensure reliable, clean, and scalable data processing.
Data Analysis and Insight Generation

Conduct in-depth data analysis and trend analysis to uncover actionable insights and support data-driven marketing strategies.
Collaboration and Alignment with Business Goals

Collaborate with marketing, data, and BI teams to align technical solutions with business goals — fostering a helpful, respectful, and results-driven environment.
Data Storage and Retrieval Optimization

Optimize data storage and retrieval performance using data warehouses like BigQuery, Snowflake, or Azure Synapse.
Reporting and Dashboard Creation

Create and maintain reports and dashboards using Power BI or other data visualization tools.
Continuous Improvement and Innovation

Continuously innovate — bring new ideas to improve workflows, reporting, and data capabilities.
Independent Work and Project Management

Work independently with little to no supervision while ensuring efficiency, transparency, and honesty in delivering projects.