Data Engineer (Permanent)

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

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

You will build robust batch and real-time pipelines, optimise architectures, and ensure data quality, governance, and availability to support BI and advanced analytics initiatives.

Qualifications

• Minimum 3 years of experience designing, building, and optimising data pipelines and architectures using ETL tools.
• Hands-on experience with Spark, Hadoop, and Hive.
• Strong SQL, Python, DBMS, data wrangling, and data visualisation skills.
• Experience with diverse data sources including flat files, SQL databases, SAP databases, PostgreSQL, and unstructured data.
• Knowledge of data security, governance, and quality best practices.
• Excellent analytical, troubleshooting, and stakeholder management abilities.

Responsibilities

• Collaborate with customers and stakeholders to understand data requirements and provide technical solutions.
• Partner with data scientists and analytics teams to support data modelling and ML initiatives.
• Design, develop, document, and maintain scalable data models, ETL/ELT, data warehouses, and pipelines for large data volumes.
• 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 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.

Skills

SQL

Python

Data Wrangling

Data Visualisation

ETL Tools

Informatica

Talend

Spark

Hadoop

Hive

Tools

Informatica

Talend

Apache Spark

Hadoop

Hive

PostgreSQL

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.

Only shortlisted candidates will be notified.

(EA Reg No: 20C0312)