Database Development & Administration (Information & Communication Technology)
Key ResponsibilitiesData Infrastructure and Architecture:Designing and maintaining the architecture used to store and process large sets of data, such as data warehouses, data lakes, and distributed systems. Creating data pipelines that extract, transform, and load (ETL) data from multiple sources into centralized systems for analysis.
Data Integration:Working with various data sources, including APIs, databases, and flat files, to integrate and merge datasets from multiple systems. Ensuring data is available in real-time or batch processing modes as per the requirements of the business or data analysts.
Data Quality and Validation:Ensuring data integrity, cleanliness, and accuracy throughout its lifecycle. Identifying and resolving any issues with missing, inconsistent, or erroneous data.
Collaboration with Data Scientists and Analysts:Collaborating with Data Scientists to ensure the infrastructure supports machine learning models and data analysis. Ensuring that analysts have the data they need in the correct format for reporting and analysis.
Automation and Optimization:Automating manual data collection and transformation processes. Streamlining data workflows to ensure faster processing and real-time analytics.
Position RequirementsEducation:Diploma or Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent work experience.Fresh Graduates are welcome!
Experience:More than 2 years of relevant work experience, diploma, bachelor degree or above, computer and related majors;Fresh Graduates are welcome!
Skills and Knowledge:Proficient in Linux operating system, with in-depth understanding of the system;
Proficient in at least one scripting language and static language, with experience in large-scale system design preferred;
Familiar with TCP/IP and HTTP protocols, with in-depth understanding of the protocols and practical troubleshooting experience preferred;
Familiar with container technology and container orchestration technology, with experience in k8s production operation and maintenance preferred;
Familiar with database principles, with in-depth understanding of common database engines preferred;
Have in-depth understanding of distributed systems, familiar with common open source basic components of the Internet (nginx, redis, kafka, mysql, hbase, zookeeper, hadoop, etc.);
Strong sense of responsibility, proactive, love of learning, and focus on teamwork;Flexibility:Outstanding candidates may be considered with more flexible requirements.
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