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Snezhina Bozhkova, Assoc CIPD
Senior Talent Acquisition Partner at Remix by thredUp
Remix by thredUP is a part of the global thredUP family with a focus on European business operations located in Sofia. Together, we are transforming the resale market with technology and we share a mission to inspire the world to think secondhand first. Оur proprietary operating platform is the foundation for our managed marketplace and consists of distributed processing infrastructure, proprietary software, and data science expertise.
How You Will Make an Impact
As a Senior Data Engineer, you'll lead and mentor, fostering collaboration and strategic alignment with business goals. Design innovative data pipelines for advanced analytics, ensuring informed decision-making. Introduce cutting-edge technologies for continuous improvement while upholding robust data governance. Your impact goes beyond technology, shaping a data-driven future for our organization.
Responsibilities
• Lead and mentor junior data engineers, providing guidance and expertise in data engineering best practices.
• Collaborate with cross-functional teams, including Data Science, Engineering, and business stakeholders, to define and understand data requirements for complex projects.
• Design, develop, and maintain scalable and efficient data pipelines and architectures to support advanced analytics and business intelligence initiatives.
• Implement data quality and validation processes to ensure the accuracy and reliability of data across various systems.
• Evaluate and implement new technologies, tools, and frameworks to enhance data processing and storage capabilities.
• Optimize and fine-tune existing data processes for improved performance and efficiency.
• Define and enforce data governance policies and standards to ensure data integrity and security.
• Act as a technical leader in data-related discussions, providing insights and recommendations to drive informed decision-making.
• Collaborate with infrastructure teams to design and implement robust, scalable, and secure data storage and retrieval solutions.
• Participate in strategic planning and contribute to the development of the overall data architecture and roadmap.
Requirements
• .Extensive experience in data engineering with a focus on designing and implementing
complex data solutions.
• Experience with Data Warehouses (e.g., Amazon Redshift, Snowflake, BigQuery).
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
• Deep knowledge of data modelling, ETL processes, and data warehousing concepts (ideally
using dbt).
• Understanding of CI/CD principles and experience implementing automated deployment
processes.
• Experience with orchestration tooling (e.g., Airflow, Argo CD).
• Proficiency in SQL and experience with data visualization tools (e.g., Looker, Tableau,
Power BI) for creating insightful reports and dashboards.
• Strong programming skills, with proficiency in languages such as Python and a solid
understanding of software engineering principles.
• Experience in extracting data through APIs or data extraction tooling (e.g., Fivetran,
Snowplow).
• Knowledge of big data technologies (e.g., Spark, Hadoop).
Introduction: My name is Merrill Bechtelar CPA, I am a clean, agreeable, glorious, magnificent, witty, enchanting, comfortable person who loves writing and wants to share my knowledge and understanding with you.
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