Note: The job is a remote job and is open to candidates in USA. SHEIN TECHNOLOGY LLC is seeking a Sr. Data Engineer III in San Diego, CA to collaborate with global teams across data, security, infrastructure, and business functions. The role involves designing scalable data engineering solutions, developing data pipelines, ensuring data integrity, and providing support for critical data systems.

Responsibilities

• Collaborate with global teams across data, security, infrastructure, and business functions to analyze data requirements and design scalable data engineering solutions
• Design, develop, and maintain efficient and scalable data pipelines to extract, transform, and load (ETL) data across distributed systems
• Apply data validation and quality assurance techniques to ensure the accuracy, consistency, and completeness of data throughout data processing workflows
• Analyze and optimize data pipelines and processing jobs for performance, scalability, and reliability by identifying and addressing system-level inefficiencies
• Ensure data integrity, security, privacy, and high availability through appropriate data modeling, access controls, and system architecture design
• Monitor data pipelines and distributed data processing systems to identify abnormal behavior, diagnose technical issues, and implement corrective actions in production environments
• Perform technical root cause analysis of data processing issues and collaborate with cross-functional teams to implement long-term, preventative solutions
• Develop and maintain technical documentation for data pipeline designs, system architectures, and operational procedures, and communicate technical updates to stakeholders
• Participate in a rotational on-call schedule to provide engineering-level support for critical data systems, ensuring production stability and reliability

Skills

• Bachelor's degree or a foreign equivalent in Applied Data Science, Computer Science, or a related field, plus 4 years of post-baccalaureate experience in job offered or Data Engineering related job titles
• Requires 4 years of experience in: Building and optimizing large-scale, distributed data pipelines with Hive, Presto, Spark, or Flink
• Data warehousing, including dimensional modeling, star/snowflake schema design, and normalization/denormalization strategies in large-scale data warehouses including Amazon Redshift
• Writing and optimizing complex SQL queries for large datasets, creating joins, aggregations, and subqueries, in the context of querying data warehouses
• Data storage solutions, including S3 on AWS
• Cloud-native services including AWS EMR, AWS S3
• Using workflow orchestration tools including Airflow in a production environment to automate, schedule, monitor and tune, data pipelines

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