Embrace the opportunity to dive into the world of **data analysis and interpretation**! As a **Data Engineer**, you will design, develop, and maintain data solutions that enable efficient data generation, collection, and processing. This role is ideal for individuals passionate about transforming data into actionable insights and building scalable solutions that support business needs. **Key Responsibilities** ------------------------ * Develop **reusable workflows** to enhance data quality and transformation processes. * Build **scalable data pipelines** for efficient data ingestion and processing. * Deploy data solutions into **production environments** to meet business requirements. * Migrate data from **legacy systems** to modern cloud architectures. * Automate data flows to enable seamless consumption and reporting. * Implement **ETL processes** for data migration and deployment across systems. * Collaborate with cross\-functional teams to identify data needs and requirements. * Monitor and optimize data pipelines for **performance and reliability**. * Document data processes and workflows for clarity and knowledge sharing. * Stay updated with **industry trends** and best practices in data engineering. **What You’ll Need** -------------------- * **Advanced proficiency** in Data Analysis \& Interpretation. * Bachelor’s Degree in Computer Science, Data Science, or a related field. * Ability to work independently and become a **subject matter expert**. * Strong problem\-solving skills and active participation in team discussions. **Bonus Points If You Have** ---------------------------- * Beginner proficiency in: * **Data Access** * **Data Engineering** * **Data Migrations**