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Trafilea is a dynamic and innovative Tech E-commerce Group that operates multiple direct-to-consumer brands in the intimate apparel and beauty sectors, with a focus on using data-driven strategies to scale their businesses.
As a rapidly growing global player, Trafilea is committed to creating high-quality products and services that enhance the customer experience and drive long-term growth.
Our CultureWe foster a culture of collaboration, innovation, and continuous learning. We believe in investing in our people, and providing them with the support and development opportunities they need to grow both personally and professionally.
With our remote-first approach, you'll have the freedom to work from anywhere in the world, surrounded by a diverse and talented team that spans the globe.
Job SummaryWe are seeking a Senior Data Engineer who can provide expertise to build and maintain data models for new and existing products in the company's data platform, that will impact directly on Trafilea's growth.
The ideal candidate will be passionate about data reporting and analytics, and will create scalable and reliable frameworks to ensure cost-effective and accurate data shared with stakeholders.
Key Responsibilities- Design, implement, and maintain reports that produce business-critical data reliably and efficiently using cloud technologies.
- Understand ETLs, using the current Apache Airflow. Propose new initiatives to improve performance, scalability, reliability, and overall robustness on metrics.
- Collect, process, and clean data from different sources using SQL & TABLEAU.
- Work side by side with the main Architects and Developers to create and ensure best practices and guidelines are being used properly by all projects.
- Assess and communicate effectively the effort for required developments.
- Discover new data sources to improve new and existing data pipelines. Be in charge of building and maintaining data pipelines and data models for new and existing projects.
- Maintain detailed documentation of your work and changes to support data quality and governance.
- Provide feedback and expert points of view as needed to help thrive all data initiatives in the company.
- Create benchmark control of execution times for every pipeline, to control and identify potential availability issues.
- Lead in solving complex and abstract data challenges, providing insights that shape industry standards and drive significant business transformations.
- Capability to manage several projects and areas.
- Passionate about learning and implementing new data-related technologies in the market.
- Ability to communicate complex ideas effectively.
- Eager to take on new challenges and learn new things.
- 2-3 years of experience as a Data Analytics Engineer, BI Engineer, or similar.
- 5+ years of experience using SQL.
- 5+ years of experience using TABLEAU.
- 2+ years of experience with the AWS data ecosystem (S3, Glue, Athena, Redshift, Lambda, RDS).
- Experience with large-scale data and query optimization techniques using SQL.
- Experience managing and monitoring data lakes systems.
- Strong experience using source control management and CI/CD (GitHub actions/Gitlab pipelines).
- Nice to have: Experience with containerized (Docker, Kubernetes) environments in AWS using EKS/ECS and ECR.
- Nice to have: Knowledge and hands-on on cloud stream-processing systems.
- Collaborate with world-class talents in a data-driven, dynamic, energetic work environment.
- Opportunity to grow and develop both professionally and personally.
- Safe space to be who you truly are, with a commitment to diversity, equity, and inclusion.
- Openness to new ideas and initiatives.
- Great benefits package including remote work, 15 working days of paid holidays, Learning subsidy, and more
