Data Engineer

Responsibility

• Develop and deploy a data integration and optimization process for the ETL process from various sources for efficient data extraction, transformation, and loading in the big data pipeline.
• Customize and manage integration tools, databases, warehouses, and analytical systems.
• Ensure data quality and measure accuracy, completeness, and consistency in the data preparation process.
• Collaborate with data team and business stakeholders to understand data requirements and deliver solutions that meet business objectives and timelines.

Qualification

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• 1-3 years of working experience in big data technologies and their ecosystems.
• Familiarity Programming skills in languages such as Python, SQL, or others.
• Basic understanding of ETL processes and data transformation techniques.
• Basic understanding of data modeling concepts and database management systems.
• Be able to use cloud computing services regarding Data Engineering workload such as AWS, Azure, and GCP and Databricks.
• Be able to work collaboratively in a team environment, sharing insights and collaborating on projects.
• Be able to clarify complex concepts in simple terms.
• Good command of English.
• Professional certification is a plus.