Regional Senior Data Engineer
- Full Time, onsite
- Inter Island Manpower Pte Ltd
- Kuala Lumpur Engineering - Software (Information & Communication Technology) Full time RM 12, Malaysia
Salary undisclosed
Apply on
Original
Simplified
JOB RESPONSIBILITIES:
- 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.
- Work either individually or in project teams as a subject matter expert to deliver business needs.
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 insights in a consistent manner and enable the business team to identify opportunities and threats for the company.
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.
JOB SKILLS 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 environment managing multiple projects concurrently.
- Should be able to travel to other countries if needed.
Similar Jobs