Data Engineer

Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines for structured and unstructured data.
• Design and develop data products to support business decision making.
• Solve complex problems using analytical, statistical and machine learning approaches.
• Optimize data architectures such as data lakes, warehouses, and streaming systems to improve performance, scalability and platform stability.
• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
• Develop automated processes and frameworks to address recurring business questions.
• Ensure data governance, security and best practices are followed.

Requirements:

• Bachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field.
• 2+ years of working experience in data engineering or a related role; Fresh graduates with relevant internship experiences are encouraged to apply.
• Strong proficiency in programming languages such as Java, Python and SQL.
• Hands-on experience in real-time data processing tools and streaming technologies (Spark, Flink, Kafka etc).
• Strong analytical and problem-solving skills.

Preferred:

• Basic understanding of machine learning concepts (e.g., classification, regression, clustering, neural networks etc).
• Familiarity with SQL and NoSQL databases.
• Experience building data products using cloud platforms and data warehousing solutions such as AWS and AliCloud.