[T04] Junior/Senior Data Engineer - Permanent Role

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

TALENTSIS PTE. LTD. in Singapore is seeking a Senior Data Engineer to design, implement and maintain scalable data flow channels, processing systems and data warehouses.

You will collaborate with stakeholders, data scientists and IT teams to meet data infrastructure needs, ensure security and governance, and drive data quality across on-prem and cloud ecosystems.

Experience with DI/ETL tools, big data tech and a track record of delivering reliable data pipelines is expected.

Qualifications

• At least 3 years' experience building data pipelines and datasets.
• Experience with DI/ETL tools and big data: Spark/Hadoop/Hive.
• Strong skills in Data Wrangling, SQL and Python.
• Experience with multiple data sources incl. SAP/SQL databases and unstructured data.
• Nice-to-have: Power BI, Kubernetes, Docker/Podman, SharePoint.

Responsibilities

• Work with stakeholders on data-related technical issues and data infra needs.
• Collaborate with data scientists to gather data requirements for modeling.
• Design, develop, document, manage and maintain data models, ETL, data warehouse and pipelines.
• Define, monitor and report SLAs for data pipelines and products.
• Ensure data security and governance are adhered to system standards.
• Drive data quality assurance practices and support post-sales data management.
• Support pre-sales initiatives and proposals with data solutions.

Skills

Data wrangling

Data visualization

DBMS

SQL

Python

Stakeholder comms

Tools

Informatica

Talend

Spark

Hadoop

Hive

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)

Only shortlisted candidates will be notified.