Experience: Proven experience as a Data Engineer or similar role with a focus on data pipelines, cloud infrastructure, and reporting.
Technical Skills: Strong understanding of data engineering concepts, tools, and technologies (e.g., SQL, Python, ETL tools, cloud platforms).
Cloud Platforms: Experience with major cloud platforms (e.g., AWS, Azure, GCP) and their data-related services (e.g., data warehouses such as BigQuery/Redshift, data lakes, data pipelines).
Data Modeling: Proficiency in data modeling techniques (e.g., dimensional, normalized) and data warehouse design.
Reporting and Visualization: Expertise in using reporting and visualization tools (e.g., Looker, Power BI, Tableau) to create interactive dashboards.
Problem-Solving: Ability to troubleshoot complex data-related issues and find innovative solutions.
Communication: Excellent communication skills to collaborate effectively with cro...