Top Data Engineer Jobs in Singapore

The Data Engineer will manage patent data operations, design data processing solutions, monitor data quality, optimize systems, and collaborate with data architects to enhance scalability and stability.

The Data Engineer role involves building optimal ETL processes, managing data pipelines, and designing scalable data platforms for analytics. Responsibilities include improving data governance, collaborating with business teams, and implementing DevOps for data projects.

The Data Engineer will assist in developing and optimizing ETL processes using PySpark and Databricks while collaborating on data models in AWS. Responsibilities include maintaining data pipelines, utilizing version control with GitHub, and implementing CI/CD practices. The role also involves documenting workflows and supporting best coding practices.

Design and maintain scalable data pipelines using Hadoop and Spark, writing optimized jobs in Scala and utilizing SQL for data management. Collaborate with data scientists, monitor workflows, implement data governance practices, and document processes while staying updated with industry trends.

As a Data Engineer, you will design and maintain efficient data pipelines, ensuring the availability and reliability of ML Solutions using technologies such as Hadoop and Spark. Responsibilities include data transformation, collaboration with teams, ensuring data quality, and implementing governance practices. You will also optimize workflows for containerized deployments and streamline processes with DevOps teams.

The Data Engineer will design, implement, and maintain ETL processes, manage data mapping documentation, collaborate with stakeholders to meet data requirements, conduct data quality checks, optimize workflows, and troubleshoot issues. They will also stay updated on best practices in data engineering.

As a Data Engineer, you will design and implement data solutions focusing on developing ETL processes, conducting data mapping, optimizing performance, and ensuring data quality. Your role involves collaboration with stakeholders and documenting processes for future reference.

As a Data Engineer, you will design and optimize big data solutions using Apache Spark, Scala, and Elasticsearch. Responsibilities include developing data processing pipelines, integrating Elasticsearch, troubleshooting issues, and ensuring data quality. You will also collaborate with DevOps teams and implement CI/CD pipelines on OpenShift.

The Data Engineer will design, develop, and implement Spark Scala applications and data processing pipelines for structured and unstructured data. They will integrate Elasticsearch for efficient data handling, optimize Spark jobs for performance, and collaborate with teams to translate requirements into solutions while maintaining data quality and addressing performance issues.

The Data Engineer is responsible for building and optimizing big data pipelines, performing root cause analysis, supporting data modeling and implementation activities, and processing large unstructured datasets. The role includes CI/CD activities and working with various cloud platforms.

The Data Engineer will design, develop, and implement Spark Scala applications and data processing pipelines, integrating Elasticsearch for data indexing and retrieval. Responsibilities include optimizing Spark jobs for performance, collaborating with stakeholders, implementing data transformations, and resolving performance issues.

As a Data Engineer, you will design, implement, and optimize data pipelines and workflows, ensuring scalable and reliable data infrastructure. Responsibilities include developing ETL processes, monitoring data quality, optimizing performance, and collaborating with stakeholders for data requirements.

The Data Engineer will be responsible for collecting, designing, and processing payments data, unifying and standardizing it to create comprehensive digital assets. The role involves developing evaluation metrics, enhancing data quality, creating data-driven tools, and maintaining data integrity to facilitate effective access to data.

The Data Engineer will design data schemas, manage data sources, control data flows, and ensure efficient data management within the company's Data Warehouse. Collaborating with various teams, the role focuses on data governance, quality control, and providing analytical support for business decisions through data insights and visualizations.

Collaborate with analysis and development teams on data modelling activities, contribute to data application projects, possess expertise in data warehousing and big data technologies, and demonstrate strong communication skills.

As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.

The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.