Senior Data & Reporting Engineer
Bangsar South, Malaysia
Razer
Cutting-edge technology✅ Excellent engineering✅ Sustainable✅ Shop Razer's catalogue of headsets, laptops and tech gear for gaming, work and leisure.Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :
Razer Gold aims to become the world’s leading payment service provider for games and digital content. As our business grows to meet the needs of gamers globally, we are looking for a Senior Data & Reporting Engineer to join our data analytics team and contribute to building an exceptional experience for our gamer customers.As a Senior Data & Reporting Engineer, you will play a critical role in designing, developing, and maintaining robust data pipelines, financial reports, and interactive dashboards. You will collaborate with cross-functional teams to transform raw data into actionable insights that support strategic and operational decision-making.
- Design, develop, and deliver automated and ad-hoc financial reports such as settlement reports, merchant transaction reports, and revenue reconciliation reports with high accuracy and reliability.
- Build and maintain interactive dashboards and visualizations using Power BI to provide business and financial insights.
- Collaborate with finance, payment operations, and business stakeholders to gather requirements and implement data-driven reporting and dashboard solutions.
- Develop and optimize complex ETL processes and manage large datasets to support financial and business analytics.
- Partner with software engineers to document and maintain financial data models, ensuring alignment with internal data standards and regulatory compliance.
- Ensure data quality by performing rigorous validation, cleansing, and reconciliation of financial and transactional data.
- Investigate and resolve data inconsistencies across internal and external systems in reports related to settlements, payments, and merchants.
- Identify and implement improvements to financial data infrastructure, tools, and reporting processes.
- Maintain secure and compliant data access and delivery in accordance with data governance and regulatory requirements.
- Enhance the architecture and scalability of reporting pipelines, data lakes, and data warehouses.
- Provide technical mentorship and support to junior team members, fostering a high-performance, collaborative culture.
REQUIREMENTS:
- Bachelor’s Degree in Data Science, Computer Science, Information Technology or equivalent.
- Minimum of 3 years of hands-on experience in data engineering, financial reporting, or analytics, including experience with ETL, data lakes, and data warehousing.
- Strong proficiency in Power BI (DAX, Power Query) and data modelling.
- Excellent SQL skills, including stored procedure development and performance optimization of complex queries.
- Proficient in Python for data manipulation and report generation.
- Hands-on experience with AWS services such as Glue, Kinesis, Lambda, Firehose, Redshift, S3, EC2, EMR, and DMS.
- Strong analytical mindset with the ability to interpret large volumes of structured and unstructured data.
- Excellent communication skills—written, verbal, and presentation—with the ability to engage and influence cross-functional stakeholders.
- Passionate about data and solving business problems with data-driven approaches.
Nice to Have
- Experience in fintech, e-commerce, or digital payments industries.
- Familiarity with other cloud platforms such as GCP or Azure.
Pre-Requisites :
Are you game?
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Business Analytics Computer Science Data Analytics Data governance Data pipelines Data quality Data Warehousing EC2 E-commerce Engineering ETL Finance FinTech Firehose GCP Kinesis Lambda Pipelines Power BI Python Redshift SQL Unstructured data
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