Grow Faster and Be More Profitable with Exactius
We solve complex digital marketing challenges and achieve ambitious growth goals by bringing executive leadership and cross-functional execution teams. Our teams include a proven performance marketing CMO, campaign and CRM managers, conversion and product managers, data scientists, front/back end developers, and creative teams as necessary.
We are supported by proprietary technology that enables advanced analysis and real-time optimization.
The Challenge:
Exactius is looking for an experienced Data Engineer to join our team. The ideal candidate will have a strong focus on SQL, data warehouse modeling, and dbt. They will be responsible for designing, building, and maintaining scalable ETL pipelines to process and manage large datasets efficiently.
Main Responsibilities:
* Design, build, and maintain scalable ETL pipelines to process and manage large datasets efficiently.
* Ensure data pipelines are optimized for performance and reliability.
* Develop and maintain data models using dbt, adhering to best practices in data warehousing.
* Integrate with third-party APIs and develop services to enable seamless data access.
* Deploy and scale data infrastructure using cloud platforms (GCP, AWS, or Azure).
* Implement and manage workflows using Airflow or similar orchestration tools.
* Establish and maintain CI/CD pipelines for seamless deployment, testing, and automation.
* Apply software engineering principles to enhance data solution maintainability and scalability.
* Collaborate with stakeholders to understand data needs and deliver reliable, actionable solutions.
* Work closely with marketing and advertising teams to enable data-driven decision-making (preferred).
Requirements:
* At least 2 years as a Data Engineer, with a strong focus on SQL, data warehouse modeling, and dbt.
* Proficiency in Python for data processing and scripting.
* Experience in integrating with third-party APIs or designing APIs for data access.
* Experience with Git for version control and Docker for containerization.
* Hands-on expertise with cloud platforms (GCP, AWS, or Azure).
* Familiarity with Airflow for workflow orchestration.
* Knowledge of CI/CD pipelines and deployment automation.
* B.A./B.Sc. in Industrial/Information Systems Engineering, Computer Science, Statistics, or a related field.
* Knowledge of digital marketing or advertising.
What We Offer:
* Opportunity to have a real impact in a high growth international brand.
* Work remote from anywhere in the world.
* Control your time - flexible hours.
* Responsibility from day one, professional and personal growth.