The Data Engineer is instrumental in advancing digital transformation across Premium companies through the design and optimization of data pipelines. Responsibilities include ensuring data integrity and developing robust pipelines, requiring expertise in data engineering.

• Develop and maintain robust data pipelines to extract, transform, and load data from multiple sources using tools like Apache Airflow
• Design and optimize data warehousing and data modeling solutions to support business intelligence and analytics, with a focus on MySQL for data storage and processing
• Ensure high data quality through comprehensive data validation and quality assurance processes
• Continuously monitor and improve the performance of data infrastructure and workflows
• Implement robust data security measures to protect sensitive information
• Collaborate with cross-functional teams, including data analysts and business stakeholders, to understand data requirements and deliver effective solutions
• Stay up-to-date with the latest data engineering tools, technologies, and best practices, including Python for data transformation and orchestration

• Prior experience in data engineering or database engineering preferred; formal education not mandatory
• 1 year of relevant experience as a data engineer or in a similar data-focused role
• Proficient in English
• Proficiency in Apache Airflow for ETL workflows, MySQL and Oracle for data storage and processing, and Python for data transformation and orchestration
• Strong problem-solving, analytical, and critical thinking skills
• Effective communication and collaboration abilities to work with cross-functional teams
• Willingness to learn and stay up-to-date with the latest data engineering tools and technologies

If you are a motivated and knowledgeable data engineer who is eager to contribute to our growing team, we encourage you to apply for this position at Premium Corporation.