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Data Engineer, Data Analytics Centre

Job Posted at: 2022-05-14 07:09:00


2022-06-13 07:50:10


Job Scope


As the data engineering team is expanding in this new setup Data Analytics Centre, the data engineer is to assist in the development of data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. To work on optimal data delivery architecture that is consistent throughout ongoing projects for the organization

**You will be responsible for:

  • Construct, test, and maintain architectures such as databases and large-scale processing systems of data
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management using SQL and Azure ‘big data’ technologies
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Create and maintain optimal data pipeline architecture and analytics infrastructure that enables almost every other function within the data scopes
  • Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build data lake and data tools for analytics and data science team members that assist them in building and optimizing our solution into an innovative industry leader
  • Work with stakeholders to identify the business requirements and the expected outcome especially on improving efficiency, productivity, and monetization using various data science methodology
  • Work with vendors/consultants on various analytics projects and apply the best practice for internal usage
  • Collaborate with different units in the Data Analytics Centre and other departments to support data collection, integration, and retention requirements

As a TEAM, you shall at all times act with HONESTY, INTEGRITY, and PROFESSIONALISM in providing the HIGHEST STANDARD OF SERVICES to our internal and external customers. Notwithstanding the above, Company may assign other duties/responsibilities to the person holding this position based on prevailing business needs or for development reasons.

**To be successful in this position, you need:

  • At least a bachelor’s degree in any of the following disciplines but not limited to Mathematics, Computer Science, Statistics, Economics, Actuarial, and Data Science
  • 2 - 5 years of working experience in relevant database architecting, preparation, design, and modeling Advanced working SQL knowledge and experience working with relational databases
  • Data Warehouse modeling (star schema, data vault) Experience in Power BI, SSAS, and DAX language
  • Knowledge in Azure Data Warehouse and Azure Data Factory will be an added advantage
  • Knowledge of database architecture, data modeling, data warehousing, ETL methodologies, and computer engineering Experience with SQL / Python / SAS / Tableau / R / SPSS / Adobe or other Machine Learning programming languages Experience with Hadoop/ Hybrid/ Cloud and other data storage tools
  • Involved in the development of data marts, data lakes, and databases
  • Proficient in Machine Learning and Artificial Intelligence


Knowledge of various technological decision making for the business's future data, analysis, and reporting needs Have involved in the development of stakeholder-ready deliverables and presenting them with confidence and influence


Preferably to have attended Big Data Analytics short-term courses or have obtained certification in Data Science


Able to complete multiple tasks within the deadline. Maintaining and balancing various requests from stakeholders and assess the objectivity of the requests for prioritization. Knowledge of business vs analytics - understanding data from various systems for a deeper comprehension of a data structure based on subjects.

Job Requirements

Minimum Working Experience

3 Years

Minimum Education

Bachelor's Degree

Field of Study

Computer Science/Information Technology


Associate, Data Management & Digital, Data Analytics Centre


Posted 2022-05-14 07:14:00