Remote Senior Analytics Engineer

Summary

Join a dynamic and innovative Tech E-commerce Group as a Senior Analytics Engineer, providing expertise to build and maintain data models for new and existing products. Must be passionate about data reporting and analytics, with experience in cloud technologies, SQL, TABLEAU, and AWS.

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

Benefits

• Remote work
• 15 working days of paid holidays
• Learning subsidy