Data Engineer

LPS Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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LPS Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE : 992) (ADR : LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit and read about the latest news via our StoryHub.

Description

LPS is a leading E2E solution provider, company partner dedicated to unlocking IT systems across regions, is actively passionate talent to join their dynamic team. This role offers an exciting opportunity to the growing team in Malaysia.

By joining LPS Technology, you'll help create a smooth and seamless experience for customers interacting with LPS, while also enhancing their independence. Your mission will be to enhance these interactions through ongoing improvements and updates to our technology

You Will

• Design, develop, and maintain interactive Power BI dashboards and reports, emphasizing automation, user experience, and data storytelling.
• Translate complex business requirements into effective data visualizations and reporting solutions.
• Integrate and manage data from financial platforms such as Aladdin and Refinitiv, ensuring data quality, consistency, and accessibility.
• Build and optimize data pipelines using Azure Data Factory, Azure Databricks, and other related Azure services.
• Perform data processing and transformation using SQL, Python, and PySpark to handle large-scale datasets.
• Support data ingestion into Azure Analysis Services and maintain structured data within the organization's Data Lake.
• Implement and uphold data quality standards, best practices, and maintain comprehensive technical documentation.
• Keep abreast of industry trends and advancements in Power BI, Azure, and data engineering to drive continuous innovation and efficiency.
• Collaborate closely with the project team and business users, providing timely support and addressing ad hoc development requests.

You Bring

#LPS

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Information Technology

Industries

IT Services and IT Consulting

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