15 Databases jobs in Singapore

• Designing database tables to ensure optimal performance and data integrity
• Creating views, functions, and stored procedures to simplify complex queries and improve system efficiency
• Writing optimized SQL queries for integration with other applications to ensure seamless data exchange
• Creating task schedules for use in automation to streamline processes and reduce manual errors
• Creating SSIS projects for ETL (Extract, Transform, Load) to extract, transform, and load data into databases or data warehouses
• Creating reports in SSRS to provide insights and visualize data for business stakeholders
• Optimizing and maintaining legacy systems to ensure they remain efficient and secure
• Modifying databases according to requests and performing tests to ensure changes do not impact system functionality
• Monitoring and managing user enquiries and issues on the systems helpdesk to provide timely support and resolve issues quickly
• Troubleshooting system issues to identify and resolve problems efficiently
• Extraction of reports as per the business requirements to provide valuable insights and inform decision-making
• Supporting existing systems to ensure they continue to function optimally

• In-depth knowledge of SQL server 2016 or above to design and implement robust database solutions
• Hands-On experience writing stored procedures, performance tuning, and troubleshooting to ensure optimal system performance
• Experience with Microsoft SQL Server Reporting Services (SSRS), Integration services (SSIS) to create and manage reports and data integrations
• Familiarity working with .Net Framework, JavaScript, HTML to develop and maintain web applications
• Understanding of Agile methodologies to work collaboratively and respond to changing requirements
• Good troubleshooting and communication skills to effectively resolve issues and communicate with stakeholders
• Attention to detail to ensure accuracy and precision in all tasks and activities
• Degree in Computer Science, Engineering, or a related field to possess strong technical foundations and expertise

We are seeking a highly skilled Quantitative Research Analyst to join our team. The ideal candidate will have a strong background in financial engineering, excellent programming skills, and the ability to work independently.

• Conduct research on proprietary and alternative datasets using statistical techniques, including Bayesian inference, principal component analysis, and random forests.
• Build Extract, Transform, and Load (ETL) processes to ingest, clean, and tag datasets.
• Create monitoring systems to detect data outliers, collection issues, and other anomalies.
• Analyze datasets and create statistical models to extract fundamental insights for portfolio managers and analysts.
• Tackle challenging quant problems using cutting-edge machine learning and deep learning toolkits.
• Write scalable, production code for model deployment.
• Maintain ownership of datasets and act as a domain expert.

1. Master's degree in Financial Engineering or a related quantitative field, plus 1 year in professional quantitative research and analysis experience in the financial or investment industry.
2. Must include 1 year with each of the following:

• Statistical techniques, including Bayesian inferencing, Principal Component Analysis (PCA), and random forests.
• Analysis and visualization of alternative datasets.
• Python, including pandas, scikit-learn, TensorFlow, PyTorch, Keras, and statsmodels.
• Linux, AWS, and Docker for cloud-based machine learning workflows.
• Convex optimization, linear algebra, and probability theory.
• Machine learning algorithms, including decision trees, neural networks, genetic programming, boosting algorithms, and ensemble methods.
• Implementing machine learning algorithms to predict returns, including data cleaning, feature engineering, feature selection, cross-validation, hyperparameter tuning, and model deployment.
• Equity statistical arbitrage.
• Object-oriented programming (OOP) and data structures, including hash tables, trees, heaps, and graphs.
• Algorithms including DFS, BFS, dynamic programming, and topology sorting.
• Market microstructure, including order flow, trade imbalance, and market impact.
• Database skills, including SQL and KDB.

As a Storage Administrator, you will play a crucial part in our team's success by ensuring the smooth operation of our data storage systems. Your primary responsibility will be to monitor and manage these systems using NetApp monitoring tools, identifying and resolving any issues promptly.

You will also contribute to documentation efforts, ensuring that processes and technical standards are well-defined and consistently updated. In addition, you will proactively identify and implement improvements in processes, procedures, and technologies to enhance efficiency and reliability.

Key responsibilities include provisioning SAN and NAS, capacity management, optimization, and sustainable operations in the allocation and utilization of infrastructure resources. You will participate in preventive maintenance and serve as an escalation point for advanced technical issues, collaborating with internal teams and vendor support to achieve timely resolutions.

Your expertise in clustered ONTAP and firmware upgrades, including SAN switches, is essential for this role. You will also participate in weekly or bi-weekly project status meetings, PM and PS coordination for potential projects, and scheduled SAM reviews. Additionally, you will coordinate with SAM for P1 issues and participate in customer change management meetings as required.

We are looking for candidates with strong technical skills and experience in:

• NetApp FAS/AFF with cluster interconnect switches
• Advanced understanding of storage protocols such as CIFS, NFS, iSCSI, and NVMe
• Unified Manager, LogicMonitor, System Manager, and Cloud Insight (now known as DII)
• Strong troubleshooting skills with the ability to diagnose and resolve complex storage issues
• Solid understanding of supporting technologies, including networking fundamentals and architecture, server platforms and virtualization, basic system administration, and ITSM, Change Management, and Incident Management

As a Storage Administrator, you can expect a dynamic and challenging work environment with opportunities for professional growth and development. Our team values collaboration, innovation, and continuous improvement, and we are committed to providing our employees with the tools and resources they need to succeed.

This role requires a high level of technical expertise and excellent problem-solving skills. If you are passionate about storage administration and have a strong desire to make a meaningful contribution to our team, we encourage you to apply for this exciting opportunity.

Job Overview

We are seeking an experienced Data Engineer to join our team and play a key role in designing, architecting, and implementing data storage solutions using AWS services and Databricks.

The ideal candidate will have a strong background in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC. They will also possess excellent programming skills, particularly in languages such as Python, Java, or Scala.

In this role, you will be responsible for creating, managing, and optimizing data pipelines for ingesting, processing, and transforming data. You will work closely with cross-functional teams to ensure data consistency and quality across various sources.

You will also develop ETL processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

This is an exciting opportunity to join our team and contribute to the development of cutting-edge data engineering solutions.

Job Overview:

A skilled Database Administrator is required to manage and maintain databases in a fast-paced banking environment.

The ideal candidate will have experience administering PostgreSQL and Sybase ASE/IQ databases, with a strong knowledge of SQL performance tuning, monitoring tools, and database internals.

• Database administration and maintenance, including installation, configuration, upgrades, and patching.
• Implementation and management of High Availability (HA) and Disaster Recovery (DR) solutions.
• Performance monitoring and query optimization.
• Troubleshooting incidents and supporting change management.
• Development and maintenance of scripts to automate DBA tasks.
• Collaboration with development and DevOps teams on deployments and CI/CD processes.
• Ensuring database security and compliance with internal policies.

Requirements:

• 6–8 years of experience as a PostgreSQL and/or Sybase DBA in enterprise environments.
• Degree in Computer Science, Information Technology, or related field.
• Proficient in configuring HA/DR, replication, and backup strategies.
• Strong knowledge of SQL performance tuning, monitoring tools, and database internals.
• Scripting experience in Shell, Python, or T-SQL.
• Solid understanding of ITIL processes and production support best practices.
• Strong communication and documentation skills.

Job Title: Database Management Specialist

">
• Key Responsibilities:">
">