Data Engineer - Junior

Role Overview: A Junior Data Engineer supporting the development of cloud-native data products and pipelines to enable enterprise analytics and AI capabilities. Key Responsibilities Write, review, and contribute to code within a collaborative engineering team to build robust technical solutions.Design and deploy high-performance, cloud-based data components for enterprise use.Build and maintain reusable data platform features, ingestion frameworks, and data products (using tools like dbt, Azure Logic Apps, and Snowflake).Support reliable data pipeline operations, including monitoring, testing, and recovery.Maintain synchronization between source systems and cloud platforms.Develop scalable data transformation pipelines to facilitate analytics and AI-driven insights.Implement data engineering best practices, such as CI/CD, testing, and code reviews.Contribute ideas to the team's data engineering roadmap as skills develop. Qualifications & Skills Proficiency in Python and SQL.Experience with Azure and/or AWS cloud platforms.Knowledge of ELT processes, data modeling, and transformation frameworks like dbt.Familiarity with data warehousing platforms such as Snowflake or Databricks.Exposure to data processing technologies like Apache Spark or streaming systems is advantageous.Understanding of CI/CD pipelines and Infrastructure as Code tools like Terraform or GitHub Actions.Experience designing or supporting large-scale data pipelines, with a strong desire to grow expertise in data architecture, observability, and best practices.Effective communication skills for working with technical teams and business stakeholders.Educational background in Computer Science or related experience. Preferred Qualifications Interest or experience with GenAI, LLMs, vector search, or agentic workflows.Background in food service, hospitality, retail, or consumer industries.