[T06] Junior/Senior Data Engineer

Visa Hunt; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Visa Hunt seeks a Senior Data Engineer to design, implement and maintain scalable data pipelines, data warehouses and processing systems. You will work with stakeholders to gather data requirements and deliver secure, governed data products.

You will collaborate with data scientists, ensure data quality and performance, and help drive pre- and post-sales data management initiatives across on-site teams in Singapore.

Qualifications

• 3+ years of experience building data pipelines and data architectures.
• Experience with big data technologies and ETL tooling.
• Proficiency in SQL, Python and data modeling concepts.

Responsibilities

• Design, implement and maintain data pipelines and warehousing solutions.
• Collaborate with stakeholders to meet data infrastructure needs.
• Define SLAs and ensure data security and governance compliance.
• Support pre-sales activities and post-sales data management.
• Work with data scientists to source and prepare data for modeling.

Skills

Data Wrangling

Data Visualization

DBMS

SQL

Python

DI/ETL tooling

Spark/Hadoop/Hive

Tools

Informatica

Talend

MS Access

SharePoint

Power BI

Kubernetes

Docker/Podman

Microservices

DevSecOps

Job description

We are seeking a Senior Data Engineer that supports the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable and secure manner. The Senior Data Engineer focuses on defining optimal solutions to data collection, processing and warehousing. He / She designs, codes and tests data systems and works on implementing those into the internal infrastructure.

Job Responsibilities

• Work with stakeholders including customers, partners and colleagues on data-related technical issues and support their data infrastructure needs;
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time);
• Define, monitor and report SLAs for data pipelines and data products;
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements;
• Drive/execute data quality assurance practices; and
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support.

Qualities We Value

• Shall have at least three (3) years' experience in building and optimising data pipelines, architecture and datasets using DI/ETL technology (Informatica, Talend etc).
• Shall have experience in supporting data transformation, data structures, metadata, dependency and workload management, big data technologies (e.g.,Sparks, Hadoop, Hive).
• Shall have the following skill sets: Data Wrangling, Data Visualization, DBMS, SQL, Python
• Experience in multiple data source support (flat files, SQL database, SAP database, PostgreSQL database, unstructured data not limited to text, documents, images, digitalized video, digitalised audio, sensor data) would be advantageous.
• Experience in these products/tools would be advantageous: MS Access (Front-end), SharePoint (Back-end), Power BI (Visualisation), Kubernetes, Docker/Podman, Microservices Architecture, DevSecOps Methodology

(EA Reg No: 20C0312)