Data Engineer

• [CANDIDATES WHO REQUIRE WORK PASSES NEED NOT APPLY]

Job Requirement:

• Experience: 2+ years’ relevant experience, minimum 4+ years of work experience
• Possess with IT knowledge and System development lifecycle - Strong experience with Metadata Management, establish sourcing and access patterns for enterprise reference data.
• Experience with SQL, SQL Server Integration Services (SSIS), Reporting Services and Analytic Services
• Experience with Azure Data Lake, Azure Data factory
• Familiar with Microsoft Azure data storage solutions, ingestion, computation services & APIs.
• Understands the common data movement architectures (like ETL, ELT, etc.)
• Experience with performing delta loads, auditing and error handling, Query performance and tuning
• Experience with data extraction and manipulation, and ad-hoc query tools
• Added advantages if knowledgeable about Python, U-SQL, SSIS Integration Runtime, HDInsights, Azure Data Bricks, DevOps

Role and responsibility:

• Analyse complex, high-volume, high-dimensionality data from varying sources using a variety of ETL and data analysis techniques
• Responsible for managing data sources, Data Ingest and Data Preparation processes including Metadata Management
• Support in design of data models and to ensure they are in alignment with headquarter and global data models and scalable to other regions
• Participate in Data Requirements Gathering and Analysis meetings with Team Members, Internal Customers, and Stakeholders
• Develop, maintain, test, and troubleshoot data solutions, including Database Development, ETL / Data Migration Development, and Big Data Development
• Understanding and support of Regional overseas Data Lake and analytics engine and platform
• Assist with enabling solutions that are scalable and transferable for regional markets
• Investigation and understanding data landscape for the respective markets
• Ability to recognize/analyse highly complex processes, interdependencies and gaps and to develop new approaches to solutions
• Supports and troubleshoots the data movement processes and the data warehouse environment
• Promote synergies and reuse within and across projects and platforms in order to maximize rapid yet responsible delivery
• Build-up and strengthen relationship with all stakeholders in the region, headquarter and the markets to effectively perform the necessary tasks within the function
• Ability to explain complex processes clearly and precisely to different target groups and to explain the specific benefits of solution approaches
• Experience with data extraction and manipulation, and ad-hoc query tools
• Added advantges if knowledgeable about Python, U-SQL, SSIS Integration Runtime, HDInsights, Azure Data Bricks, DevOps Preferred Qualifications