Top Database Jobs in Singapore
Design, develop, and maintain integration solutions using Oracle Data Integration and Oracle Integration Cloud. Write and optimize SQL and PL/SQL scripts for data ETL processes. Collaborate with teams to integrate applications using OIC. Develop BI Publisher and OTBI reports. Monitor and troubleshoot integration processes. Provide training and support to team members and end-users on integration tools.
Design, develop, and deploy QlikView/Qlik Sense dashboards and reports. Create and maintain efficient data models, integrate data from multiple sources, troubleshoot and optimize applications, provide ongoing support.
Take initiative and ownership of projects and clients, understand and document business requirements, propose technology solutions, design data security measures, and build schemas and data transformations.
On the Merchant Data & Insights team, working with cutting-edge technologies and advanced data solutions to generate reports with high volume of data across PayPal.
Design, develop, and maintain SQL data warehouses, build reports and dynamic dashboards, and manage data pipelines using Airflow for Cupid Media under Social Discovery Group.
Barings is seeking a BI Developer to join their Enterprise Data Group, responsible for operational reporting, data visualization, and design best practices. The role involves maintaining client reporting, designing data models, administering reporting platforms, and developing BI solutions. Qualifications include a bachelor's degree and 2+ years of experience in data modeling and Microsoft Power BI or SSRS.
The Data Engineer II is responsible for ensuring accurate and pertinent data for the Legal and Compliance departments. They extract and analyze data from multiple databases/platforms, design analytics models, and address business challenges. The role involves ensuring data integrity, conducting root-cause analyses, and implementing corrective measures for data-related issues.
Facilitates implementation of enhancements to business analytics solutions, performs data mining with large datasets, validates data quality and transformation, ensures data integrity, analyzes trends in complex datasets, collaborates with various teams, and provides impact analysis of operational policies. Requires Bachelor's degree and 2+ years of relevant experience in healthcare data analytics or data engineering.
Seeking a Senior Data Analytics Engineer to work on Business Intelligence solutions, extract insights from large datasets, and provide recommendations for decision-making. The role involves designing reports, visualizations, and ensuring data accuracy and reliability. The ideal candidate will have 5 years of experience in Data Analytics or BI Engineering with proficiency in SQL and BI visualization tools like Google Looker.
Join ROLLER as a Data Specialist on our Payments team to drive impactful business decisions through data analysis, dashboard development, insight generation, pricing projects, and cross-functional collaboration. Use your expertise in data analysis tools like Excel, SQL, Tableau, Looker, and BigQuery to provide actionable recommendations and support the data-driven culture at ROLLER.
The Senior BI Developer will be responsible for developing innovative visual analytics solutions, providing guidance on reporting standards, documentation, and dashboard development best practices. They will work with data engineers, business analysts, and stakeholders to facilitate solution design and implementation.
Working as a kdb+ Developer at Data Intellect, collaborating with business users to define requirements, develop and maintain client applications, analyze data, mentor junior developers, and contribute to project delivery. Requires 3+ years of kdb+ development experience, ability to learn new programming languages quickly, and familiarity with software development methodologies. Desired skills include Python, cloud development, time series experience, and people management. Offers flexible working, professional development, progression opportunities, international travel, healthcare cover, referral scheme, and social events.
The Analyst / Sr Analyst - Data Engineer role at Lilly involves designing, developing, and maintaining complex data solutions for analytics and reporting. The role focuses on ensuring data availability and quality for external government and regulatory reporting purposes. Data engineers play a crucial role in transforming raw data into analysis-ready datasets for decision-making.
The Senior Analytics Engineer at Remote will be responsible for designing, developing, and maintaining dbt models for data transformation and analysis. They will work collaboratively on challenging data problems and make an impact with their work, using modern data tooling such as SQL, Python, and various data platforms.
Seeking a highly skilled Data Architect Consultant with experience in data architecture, data modeling, and database design. Responsibilities include collaborating with clients, designing data architectures, ensuring data quality, and providing technical leadership to data engineering teams.
Seeking a Senior Tech Lead for BI Applications to design, develop, and manage BI solutions, lead a team of engineers, and ensure scalability and reliability of data systems. Key responsibilities include managing BI tools, automating BI processes, ensuring data security, and standardizing management practices.
Creating data pipelines, developing interactive dashboards, analyzing data for decision making, and resolving report glitches in Power BI. Proficiency in DAX and SQL querying is required.
Design, develop, and implement complex ETL processes using Informatica PowerCenter. Collaborate with stakeholders to ensure data quality standards. Create technical documentation for ETL processes and data integration solutions.
Head of Data Management role in APAC region at Quantexa, responsible for driving Data Management strategy, leading product features, influencing stakeholders, and shaping the Data Fabric and AI capabilities. Opportunity to work in a diverse and innovative environment with a focus on Banking, Insurance, Telco, Government, and Healthcare sectors.
Join an inclusive team passionate about using their expertise in data science to build next-generation data systems, enforce operational data quality, design and develop data analytics, and create modern visualization solutions and web applications. Requires a Bachelor's/Master's degree in computer science or information technology and at least 3 years of working experience in web and software development, business intelligence solutions, relational databases, SQL, Agile development, and REST API. Strong problem-solving and communication skills are essential.
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