5 Databases jobs in Singapore
Large Scale Data Storage Engineer
Posted today
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Job Description
This role is responsible for crafting and implementing a storage solution for offline data in the recommendation system, catering to over a billion users.
The primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. The team aims to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs.
The ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.
Key Responsibilities:- Design and implement an offline/real-time data architecture for large-scale recommendation systems.
- Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.
- Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.
- Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.
- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 1+ years of experience building scalable systems;
- Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems;
- A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customisation experience;
- Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage;
- Prior experience in data warehousing modeling;
- Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;
- Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus;
- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data (in the petabyte range) are all advantageous qualities.
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace.
We are passionate about this and hope you are too.
Large Scale Data Storage Engineer
Posted today
Job Viewed
Job Description
Software Engineering Opportunity ">
This role is responsible for crafting and implementing a storage solution for offline data in the recommendation system, catering to over a billion users.
The primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. The team aims to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs.
The ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.
Key Responsibilities:
- Design and implement an offline/real-time data architecture for large-scale recommendation systems.
- Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.
- Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.
- Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.
Requirements:
- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 1+ years of experience building scalable systems;
- Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems;
- A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customisation experience;
- Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage;
- Prior experience in data warehousing modeling;
- Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;
- Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus;
- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data (in the petabyte range) are all advantageous qualities.
Benefits:
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace.
We are passionate about this and hope you are too.
Junior Data Storage & Records Coordinator (Workpapers)
Posted 3 days ago
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Job Description
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Data Center Storage Solutions Expert
Posted today
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Job Description
The ideal candidate will possess extensive experience in enterprise storage provisioning, disaster recovery solutions, and technical expertise in SRDF (Symmetrix Remote Data Facility).
- Perform high-level storage provisioning across large-scale enterprise environments to ensure optimal performance and scalability.
- Develop, implement, and maintain disaster recovery strategies to ensure data availability and system resilience during outages.
- Configure, manage, and troubleshoot SRDF solutions to support data replication and business continuity.
- Configure and build enterprise storage hardware solutions as per business requirements.
- Handle incident resolution and change management processes following ITIL best practices to ensure minimal service disruption.
Required Skills and Qualifications:
- Experience: Minimum 5 years in enterprise storage solutions with hands-on experience with SRDF and disaster recovery planning.
- Technical Skills: Strong understanding of SAN/NAS storage systems and proficiency in hardware configuration and troubleshooting.
- Soft Skills: Excellent problem-solving and analytical skills, strong communication and collaboration abilities.
Administrative Support Specialist - Database Management
Posted today
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Job Description
The successful candidate will be responsible for providing administrative support, coordinating events, and engaging with industry partners. This role involves implementing tools to enhance database management, creating reporting dashboards, and supporting workflow automation for data collection and process transformation.
Key Responsibilities:- Design and implement solutions to improve database efficiency and create data-driven insights
- Develop and maintain reporting dashboards to track key performance indicators
- Collaborate with industry partners on IP licensing and commercialisation matters
- Coordinate meetings and manage event logistics to ensure seamless execution
- Perform administrative tasks as needed or assigned to support the team's efforts
- Degree in a relevant field, such as business administration or information technology
- Proficient in MS Excel and Power BI, with experience in database management a plus
As a detail-oriented and organized individual, you will play a crucial role in supporting our team's goals and objectives. If you have a passion for data analysis and administrative support, this is an excellent opportunity to grow your skills and contribute to our organization's success.
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