Senior Data Engineer: Build Scalable, Real-Time Pipelines

talentsis pte. ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

talentsis pte. ltd. in Singapore seeks a Senior Data Engineer to design, implement, and maintain data pipelines, data warehouses, and real-time processing solutions in our Singapore operations.

You will collaborate with stakeholders and data scientists to translate requirements into scalable data infrastructure. The role focuses on building robust data models, ETL processes, and governance, while ensuring performance, security, and reliability across large volumes of structured and unstructured

Qualifications

• Experience designing and implementing data pipelines, data models and data warehouses.
• Ability to work with data architects, data scientists and stakeholders to translate requirements into scalable solutions.
• Proficiency with DI/ETL tools and big data technologies such as Spark, Hadoop, and Hive.
• Strong SQL, Python, and data wrangling skills including data quality and governance.

Responsibilities

• Work with customers, partners and colleagues on data-related technical issues and data infrastructure needs.
• Collaborate with data scientists to gather data requirements for modelling work.
• Design, develop, document, and maintain data models, ETL processes, data warehouse, and data pipelines for large volumes of data from multiple sources.
• Define, monitor and report SLAs for data pipelines and data products.
• Ensure data security and governance standards are implemented.
• Drive data quality assurance practices and support pre/post-sales data management initiatives.

Skills

Data Wrangling

Data Visualization

SQL

Python

ETL

Big Data

Informatica

Talend

Kubernetes

Docker

Tools

Power BI

Informatica

Talend

Kubernetes

Docker

Spark

Hadoop

Hive

Job description

talentsis pte. ltd. in Singapore seeks a Senior Data Engineer to design, implement, and maintain data pipelines, data warehouses, and real-time processing solutions in our Singapore operations.

You will collaborate with stakeholders and data scientists to translate requirements into scalable data infrastructure. The role focuses on building robust data models, ETL processes, and governance, while ensuring performance, security, and reliability across large volumes of structured and unstructured