Trafilea Tech E-commerce Group is hiring a
Senior Analytics Engineer

Summary

Trafilea is a dynamic Tech E-commerce Group that operates multiple direct-to-consumer brands in the intimate apparel and beauty sectors. They are looking for a Senior Analytics Engineer to build and maintain data models for new and existing products, using cloud technologies like Apache Airflow, SQL, and TABLEAU. The candidate is expected to have experience with AWS data ecosystem, large-scale data optimization techniques, and source control management.

Requirements

• 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)

Responsibilities

• Analysis, Design, implementation, and maintenance 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

Preferred Qualifications

• Experience with containerized (Docker, Kubernetes) environments in AWS using EKS/ECS and ECR
• Knowledge and hands-on on cloud stream-processing systems

Benefits

• 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!
• Recognized by Forbes and FlexJobs as one of the Top 25 Companies for Remote Workers