Junior/Senior Data Engineer

talentsis pte. ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

talentsis pte. ltd. is seeking a Senior Data Engineer to design, implement and maintain data flow channels and processing systems for scalable, secure data collection and warehousing in Singapore.

The role focuses on defining optimal data solutions, coding and testing data systems for integration into internal infrastructure. You will work with customers, partners and colleagues to address data infrastructure needs, align with data governance standards, and support pre- and post-sales data

Qualifications

• Minimum 3 years' experience building and optimising data pipelines, architecture and datasets using DI/ETL tech (Informatica, Talend etc).
• Experience in data transformation, data structures, metadata, dependency and workload management; big data tech (e.g., Spark, Hadoop, Hive).
• Proficiency in Data Wrangling, Data Visualization, DBMS, SQL, Python.

Responsibilities

• Work with stakeholders on data-related technical issues and support data infrastructure needs.
• Collaborate with data scientists to gather data requirements for modeling work.
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse and data pipelines for large volumes of data from diverse sources.

Skills

Data Wrangling

Data Visualization

SQL

Python

DBMS

Tools

Power BI

Kubernetes

Docker/Podman

Microservices Architecture

DevSecOps

MS Access

SharePoint

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)