Data Engineer

• ETL Development: Build, maintain, and optimize scalable ETL pipelines for data ingestion, transformation, and storage.
• Data Modeling: Design and implement star schema models for efficient querying and reporting.
• Cloud Integration: Leverage AWS services (e.g., S3, Lambda, Redshift, Glue) to build and optimize the data infrastructure.
• Third-Party Integration: Connect and integrate third-party services and APIs into our data pipeline to enhance functionality.
• Dashboard Development: Create and maintain dashboards to provide actionable insights for business and technical stakeholders.
• Data Mesh Practices: Collaborate with teams to implement best practices for a data mesh architecture, fostering a decentralized and scalable approach to data management.
• Collaboration: Partner with data analysts and business units to understand requirements and deliver tailored data solutions.
• Performance Optimization: Ensure data systems are secure, performant, and scalable to meet growing business needs.

• Experience: 3+ years of experience as a data engineer or in a similar role.
• Technical Skills:
• Proficiency with Postgres, Databricks, and AWS services (e.g., S3, Lambda, Redshift, Glue).
• Expertise in building and optimizing ETL pipelines.
• Strong knowledge of SQL and star schema data modeling.
• Experience integrating third-party services and APIs.
• Hands-on experience creating dashboards using tools such as Tableau, Power BI, or equivalent.
• Architectural Knowledge: Familiarity with data mesh architecture and modern data frameworks.
• Problem-Solving: Exceptional analytical skills to troubleshoot and resolve data issues.
• Communication: Ability to convey technical concepts to both technical and non-technical audiences.

• Experience with CI/CD pipelines for data workflows.
• Knowledge of data governance, security, and cataloging tools.
• Familiarity with machine learning pipelines and advanced analytics.
• Familiarity with Ruby on Rails