Data Engineer (Permanent/Many Positions)

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

TALENTSIS PTE. LTD. is seeking Data Engineers to design, develop, and maintain scalable data platforms for efficient data collection, storage, processing, and analytics.

The role involves building robust batch and real-time data pipelines and ensuring data quality, governance, and availability to support BI and advanced analytics initiatives. You will collaborate with stakeholders, data scientists, and analytics teams to implement data models and pipelines, while ensuring security and compliance

Qualifications

• 3+ years of experience designing, building, and optimising data pipelines and architectures.
• Experience with ETL tools such as Informatica or Talend.
• Proficiency in SQL, Python, and DBMS.
• Experience with big data technologies such as Spark, Hadoop, and Hive.
• Knowledge of data security, governance, and quality practices.

Responsibilities

• Collaborate with customers and stakeholders to understand data requirements and provide technical solutions.
• Partner with data scientists to support data modelling and analytics initiatives.
• Design, develop, and maintain scalable data models, ETL/ELT processes, data warehouses, and pipelines for large data volumes.
• Build and optimise batch, near real-time, and real-time data processing solutions.
• Monitor and improve performance, reliability, and scalability of data platforms.

Skills

SQL

Python

DBMS

Data Wrangling

Data Visualisation

ETL/Data Integration

Tools

Informatica

Talend

Spark

Hadoop

Hive

Job description

Position Overview

We are looking to recruit several Data Engineers to design, develop, and maintain scalable, secure, and high-performance data platforms that enable efficient data collection, storage, processing, and analytics. In this role, you will build robust batch and real-time data pipelines, optimise data architectures, and ensure data quality, governance, and availability to support business intelligence and advanced analytics initiatives.

Key Responsibilities

• Collaborate with customers, business stakeholders, partners, and internal teams to understand data requirements and provide technical solutions.
• Partner closely with data scientists and analytics teams to support data modelling and machine learning initiatives.
• Design, develop, document, and maintain scalable data models, ETL/ELT processes, data warehouses, and data pipelines for large volumes of structured and unstructured data.
• Build and optimise batch, near real-time, and real-time data processing solutions.
• Monitor, maintain, and improve the performance, reliability, and scalability of data platforms and pipelines.
• Define, monitor, and report Service Level Agreements (SLAs) for data pipelines and data products.
• Implement data security, governance, and compliance standards across data platforms.
• Drive data quality assurance initiatives and establish best practices for data integrity and consistency.
• Support pre-sales activities by providing technical expertise for data management solutions, proposal development, and post-implementation support.

Requirements

Minimum 3 years of experience designing, building, and optimising data pipelines, data architectures, and datasets using ETL/Data Integration tools such as Informatica, Talend , or equivalent.

Hands-on experience with data transformation, metadata management, workload management, and big data technologies such as Apache Spark, Hadoop, and Hive .

Strong proficiency in:SQLPythonDatabase Management Systems (DBMS)Data WranglingData Visualisation

Experience working with diverse data sources, including:Flat filesSQL databasesSAP databasesPostgreSQLUnstructured data (text, documents, images, audio, video, sensor data)

Good understanding of data security, governance, and data quality best practices.

Strong analytical, troubleshooting, and problem-solving skills.

Excellent communication and stakeholder management abilities.

(EA Reg No: 20C0312)