PR/158843 | Data Engineer

COMPANY OVERVIEW
A well-established client of us in Kuala Lumpur is seeking for Data Engineer. 

JOB RESPONSIBILITIES

• Design, build, and maintain robust and scalable data pipelines to collect, process, and store structured and unstructured data from various sources. 

• Develop and optimize database schemas, tables, and queries to support data storage, retrieval, and analysis. 

• Implement ETL processes to integrate data from various sources, ensuring data quality, consistency, and integrity. 

• Monitor and troubleshoot data pipelines and infrastructure issues and provide timely resolutions. 

• Develop real-time reports and dashboards using BI tools (e.g., Tableau, Power BI, Looker). 

• Collaborate with Business Insights Analyst and other cross-functional team members to understand data requirements, perform data profiling, and implement data transformation and cleaning processes

JOB REQUIREMENTS

• At least 3 years experience 

• Proven experience as a data pipeline engineer in various functional teams such as Business Intelligence, Data Analytics, or a similar role. 

• Advanced Excel skills (such as VBA scripting, macros, array formulas, pivot tables, power queries, multi-data source integration, data cleansing methods, text and data manipulation functions, charting and dashboarding) and seasoned in large data validation, reconciliation, and management. 

• Strong Relational Database and SQL Scripting and skills with the ability to extract and manipulate large data sets. 

• Proficiency in BI tools (Tableau, Power BI, Looker, or similar) is an advantage. 

• Experience with real-time data processing and streaming technologies (e.g., Apache Flink, Kafka Streams) is not required but a strong advantage. 

• Skilled in automation, scripting or data manipulation languages such as Python, JavaScript, Bash/Shell, PowerShell or R for statistical analysis required. 

• Experience with cloud data platforms (BigQuery, Snowflake, Redshift) is a plus. 

• Strong problem-solving skills and ability to identify actionable insights. 

• Excellent communication skills – able to present data-driven recommendations to non-technical stakeholders. Bilingually strong in English and Chinese is an advantage in order to support Chinese speaking stakeholders.