Senior/Lead Data Engineer US/UK shift

2 months ago


Kuala Lumpur, Kuala Lumpur, Malaysia Randstad Malaysia Full time

about the company

a global leader in digital asset management and advertising delivery, providing integrated technology solutions to streamline the production, management, and distribution of media content. They enables brands, agencies, and media companies to manage their creative assets across various channels and markets, ensuring consistent, timely, and high-quality delivery.

about the role

you will be tasked with designing, developing, and maintaining the company's data infrastructure, which includes data warehousing, ETL processes, and data governance initiatives. Collaborating closely with data analysts, scientists, and other key stakeholders, you will ensure that data pipelines are scalable, efficient, and reliable, while upholding high data quality standards. Additionally, you will lead efforts to modernize our data warehouse operations, keeping them in line with industry best practices and the latest technological advancements.

about the job

design, implement, and manage data warehouse solutions that support analytics and reporting needscreate and maintain ETL processes to efficiently extract, transform, and load data from various sources into the data warehouseenhance data pipelines to ensure high performance, scalability, and reliability in data processingenforce data governance and security protocols to maintain data integrity and confidentialityproduce and update documentation such as data flow diagrams, technical specs, and user manualswork closely with data scientists, analysts, and other stakeholders to convert business needs into technical solutions knowledge, skills and experience bachelor's degree in computer science, engineering, or a related field; a master's degree is preferredat least 5 years of experience as a data engineer, with hands-on expertise in designing and building data pipelines using Databricks for big data processing and analyticsstrong proficiency in programming languages like Python, or Scala, along with experience writing complex SQL queriessolid experience with data modeling, ETL/ELT processes, and data warehousing concepts, including medallion architectureexperience in developing reports with tools like Power BI, Tableau, or SSRS excellent problem-solving abilities, capable of troubleshooting and debugging complex data engineering challengesskilled in translating technical concepts into terms that non-technical stakeholders can easily understand
how to applyinterested candidates may contact Hua Hui at for a confidential discussion.
experience 5 years
skills SQL, Python, Scala, Spark, ETL/ELT, Power BI, Tableau, SSRS
qualifications diploma or Bachelor's degree in Computer Science, Information Technology, or a related field
education Bachelor Degree

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