IT Data Engineer at TUNGSTEN AUTOMATION SINGAPORE PTE LTD

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Warehouses, Cloud Platforms, Big Data Technologies, Data Modeling, SQL, Python, ETL/ELT, Orchestration Tools, CI/CD, Docker, Kubernetes, Git, Streaming Data, Data Governance, Data Visualization, AI Prompting

Industry

Software Development

Description

The IT Data Engineer plays a critical role in enabling data-driven decision-making across the organization by designing, building, and maintaining robust data infrastructure. This position is responsible for developing scalable data pipelines, managing databases and data warehouses, and ensuring the integrity, accessibility, and quality of enterprise data. Through thoughtful architecture and efficient processing systems, the Data Engineer supports analytical initiatives and empowers teams with reliable, well-organized data assets. Key Responsibilities · Design, build, and maintain scalable data pipelines to extract, transform, and load data from diverse sources into centralized repositories (e.g., data warehouses, data lakes) · Develop and manage databases, data warehouses, and data lakes to support analytics and reporting needs · Write and maintain efficient code and scripts for data processing, transformation, and manipulation · Ensure data quality, consistency, and reliability across all systems and pipelines · Implement and uphold data security, privacy, and access controls in compliance with governance standards · Collaborate with cross-functional teams to deliver data solutions aligned with business objectives · Monitor and optimize the performance, scalability, and cost-efficiency of data infrastructure · Create and maintain clear documentation for data architecture, processes, and workflows · Stay current with emerging data engineering technologies and recommend improvements to existing systems · Design and implement data models and schemas to support analytical and machine learning use cases · Build curated datasets and data marts to enable self-service analytics for business users · Establish monitoring and alerting systems to proactively detect and resolve data pipeline issues · Support machine learning operations by collaborating with data scientists on feature engineering and model deployment · Leverage cloud platforms (e.g., AWS, Azure, GCP) to build and maintain modern, scalable data infrastructure · Contribute to data governance initiatives by ensuring compliance with internal policies and external regulations · Utilizes AI-enabled tools (e.g., chatbots, document automation, analytics assistants) to improve efficiency, accuracy, and streamline routine tasks while following company AI governance and data privacy standards.

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Responsibilities

The IT Data Engineer designs, builds, and maintains robust data infrastructure, focusing on developing scalable data pipelines to extract, transform, and load data into centralized repositories. This role is also responsible for managing databases and data warehouses while ensuring data quality, integrity, and accessibility for analytical initiatives.