- Design, develop, and maintain robust data pipelines and ETL processes to support data integration and transformation across multiple data sources.
- Design analytical solutions for strategic business problems through engagement and research.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions in meeting milestones, timelines, and deliverables for projects.
- Implement and optimize data models, including star schemas, to facilitate efficient data querying and analysis.
- Leverage Azure Synapse Analytics, Databricks, and other Azure services to build scalable data infrastructure.
- Ensure data quality and consistency across all layers of the data lakehouse (bronze, silver, and gold layers).
- Automate ETL processes using SQL, Python, PySpark, or other relevant technologies to streamline data ingestion and transformation.
- Monitor and maintain the performance, security, and reliability of data systems.
- Provide technical leadership and guidance on best practices for data engineering within the organization.
- Document data pipelines, processes, and architecture to ensure transparency and knowledge sharing.
New data integration and data infrastructure
- A key contributor to the development of organization data infrastructure and collaborate closely with vendor’s data engineers on a day-to-day basis to ensure development drives business outcomes.
- Create impeccable and user-friendly documentation for data sources and data dictionaries across the company.
- Establish a clear Business Glossary to keep everyone on the same page by defining common terminology and interpretation of the same data.
- Validate data structure in the Data Management Platform, refine logic and data transformation, and build aggregation tables to provide seamless reporting and data access across the business.
- Improve data maturity with high data quality, reliability, and visibility of business
EDUCATION/QUALIFICATION/EXPERIENCE
- Bachelor’s degree holder in Computer Science, Data Science, Statistics, Mathematics or equivalent
- Minimum 5 years of experience in data engineering or a similar role.
- Strong proven expertise in Azure Synapse Analytics, Databricks, and other Azure cloud technologies.
- Proficiency in Python, PySpark, and other relevant programming languages for ETL automation.
- Experience in designing and implementing data models, including star schemas and other dimensional models.
- Experience in Data Management tools such as Data Lake, BI, ETL, Dashboards, Balanced Scorecards, etc.
- Excellent communication and presentation skills, to communicate complex analytical and technical content clearly and effectively.
- Demonstrated ability to work with large, complex datasets and build scalable data solutions.
- Track record of forming strong partnerships with cross-functional teams.
- Experience with data visualization tools and an understanding of how data engineering supports data analytics.
KNOWLEDGE, SKILLS & ABILITIES REQUIRED
- Highly proficient in data analysis and data mining skills (such as Python, Scala, R, T-SQL, MDX, DAX, etc.)
- Strong analytical skills with the ability to translate business needs into technical solutions.
- In-depth knowledge and understanding of data relationships and able to comprehend the data.
- Understand the reporting and business intelligence best practices.
- Ability to synthesize information from various sources to Data Management Platform to create a single and actionable point of view and direction for BI reporting requirements.
- Highly resourceful, with strong research skills and a working knowledge of digital marketing analytics.
- Possess a strong ability to query and use large, robust data sets across the latest Delta Lake and Databrick platforms.
- Strong understanding of data governance, security, and compliance best practices.
- Ability to manage multiple priorities and projects simultaneously.
OTHERS
- Fluent communication in English and interpersonal skills, both verbal and written.
- Meticulous and good team player who can work with various levels of stakeholders from different cultures and locations.
- Ability to work in a flexible, dynamic, and fast-paced
Genki Sushi, a Japanese Authentic Sushi Chain Restaurants which originated in Tochigi, Kanton Region in Japan since 1968.
We are proud to share with Malaysian a product that is synonymous with Japan's unique culture and the principle of "customer comes first". And to further enhance the customer journey and experience, our "kaiten sushi" system has now evolved to a whole new level of service standard - The World's first order and automated direct-to-table delivery system; and modelled after the actual Shinkansen Train in Japan.
All our Team Members are well trained with proper Japan Food & Service skills at all times to ensure our customers have the same experience like they were in Japan
We are looking for energetic, dedicated and motivated team members to join our family!
Perks and benefits Medical Miscellaneous allowance Education support Dental Meal Allowance, Full Shift Allowance, Full Attenda