AI-generated summary
This job is for a Data Reliability Engineer who designs and maintains data systems. You might like this job because it combines teamwork and technology to create impactful tools, helping businesses make smarter decisions with data!
Undisclosed
Menara Maxis, Kuala Lumpur
Full-Time
few days ago
Are you ready to get ahead in your career?
Why does this job exist and why is it critical?
You will design and optimize data pipelines, transform insights in BigQuery, and deliver impactful dashboards in Power BI—driving smarter decisions through automation and collaboration.
What are you accountable for?
Design, build, and maintain scalable and reliable ETL pipelines to ingest data from various sources into Google BigQuery, ensuring data quality and efficiency.
Develop and optimise complex SQL queries in Google BigQuery for data transformation, aggregation, and analysis to support business requirements.
Create, deploy, and manage interactive and insightful BI reports and dashboards using PowerBI, including crafting DAX measures for complex calculations.
Collaborate closely with business stakeholders to understand their data requirements, translating them into technical specifications and actionable insights.
Develop and implement data models that support BI initiatives and ensure data consistency and accuracy for reporting purposes.
Utilise Python for scripting, automation of data processes, and integration tasks to enhance the data engineering workflow.
Perform data validation, cleansing, and troubleshooting to ensure the accuracy and reliability of data presented in BI reports.
Monitor and optimise the performance of data pipelines and BI solutions, identifying and resolving issues to ensure timely data delivery.
What do you require for this role?
Experience building scalable ETL pipelines and working with Google BigQuery.
Strong SQL skills for data transformation and analysis.
Proficient in Power BI, including DAX for complex calculations.
Ability to translate business needs into technical solutions.
Skilled in developing data models for accurate reporting.
Proficient in Python for scripting and automation.
Strong data validation and troubleshooting abilities.
Capable of optimizing data pipelines and BI performance.
What’s next?
Maxis values diverse voices & people. We hire and reward our employees based on capability & performance — regardless of ethnicity, gender, age, education, religion, nationality or physical ability.
Work with cross-functional teams that are proactive, collaborative, and result-oriented!
Together, we strive to impact communities nationwide through strategic CSR offerings.
Expand and apply your experience in product development, while building new skills and knowledge in other areas!
Last active - few hours ago
0 - 10 Years of Experience
