Senior Data Engineer: Build Scalable Data Pipelines

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

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.