Data Engineer_Senior Data Engineer (Malaysia)

Data Engineer_Senior Data Engineer (Malaysia)
Full Time

What We Do Matters

Azendian Solutions is an Artificial Intelligence, data science solutions and operations technology startup, contributing to smart city solutions with a current focus on Education and the Built Environment. We also have a thriving data science consulting and system integration practice. We are expanding into new markets and domains. If you enjoy working for a visionary in a fast, dynamic environment and have what it takes to succeed, join us in our transformation and growth story.

The Role

We are looking for a qualified Data Engineer who will be part of the data engineering team. The ideal candidate will design and develop high quality data products – data warehouse, data marts, data lake and data hubs; either on cloud or on-premises system environments.

Job Responsibilities

  • Build and support the data pipeline and all the associated Software Engineering infrastructure tasks.
  • Liaise with clients, technical architects, data architects, data scientists and BI analysts to gather the requirements.
  • Analyse the data requirements, prepare the functional and non-functional specifications for the data products.
  • Develop the data pipeline using either ETL/ELT approach to load or synchronise data in near real time or batch mode.
  • Analyse and interpret data into business insights.
  • Design and develop the dashboards and visualizations using the BI tools.
  • Ability to understand and convert the business logics into SQL queries and validate it against the data.
  • Prepare the Test Plans and conduct Unit Testing, System Integration Test, User Acceptance Test and Performance Test.
  • Implement the deployment approaches and methods to roll-out the system changes.
  • Stay up to date with industry standards and technological advancements that will improve the quality of the data products.

Job Requirements

  • A keen learner with a minimum bachelor’s degree in Computer Science or related fields.
  • At least 1 year of end-to-end data warehouse, data lake and big data implementation experience.
  • Proficient with at least one or more of the following technologies: Informatica ETL Tools, SSIS, SQL Skills, SQL Server, Azure Data Factory, Data Warehouse, ETL Framework.
  • Preferably possess a good knowledge about: Power BI, Qliksense, MicroStrategy, SAS and Tableau.
  • Preferably possess a good knowledge about: DataStage, Attunity, Hadoop Ecosystem, Data APIs, Unstructured Data and Data Modelling.
  • Able to work under pressure when there is an escalated demand in the project cycle.
  • Understand the solution requirements and progress to develop, build and operationalise the solutions.
  • Enjoy problem solving in different domains and industries.
  • Love working with a highly energetic and competent team.
  • A self-starter with an analytical approach to problem solving.
  • A client-centric, outcome driven and quality focused team player.
  • Excellent communication; both in written and spoken English.

Apply for this position

    Allowed Type(s): .pdf, .doc, .docx