Data Engineer (Permanent)

TALENTSIS PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

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

You will work on robust batch and real-time pipelines, ensuring data quality, security, and governance for BI and advanced analytics initiatives. Responsibilities include collaborating with stakeholders, supporting ML initiatives, building scalable models and pipelines, and defining SLAs for data products.

Qualifications

• Minimum 3 years of experience designing, building, and optimising data pipelines and datasets.
• Experience with ETL/Data Integration tools (Informatica, Talend) or equivalent.
• Strong SQL and Python skills; proficiency with DBMS and data wrangling.
• Knowledge of data security, governance, and data quality best practices.
• Excellent communication and stakeholder management abilities.

Responsibilities

• Collaborate with customers, stakeholders, partners, and internal teams 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 processes, data warehouses, and pipelines.
• Build and optimise batch, near real-time, and real-time data processing solutions.
• Monitor, maintain, and improve performance, reliability, and scalability of data platforms.
• Define, monitor, and report SLAs for data pipelines and products.
• Implement data security, governance, and compliance standards across platforms.
• Drive data quality assurance and best practices for data integrity.
• Support pre-sales activities with technical expertise for data management solutions.

Skills

ETL/Data Integration

SQL & Python

Data Governance

Stakeholder Management

Analytics & Troubleshooting

Tools

Informatica

Talend

Apache 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.