- Highly motivated team
- Outstanding career growth
- Career stability
- Create dashboard that use the data pipeline to give actionable insights, operational effectiveness, and other key performance metrics.
- Record, perform data quality check, track and monitor testing outcome, as well as develop testing frameworks to test ETL jobs.
- Load data from variety of data sources using SQL and big data technologies.
- Corporate with stakeholders as well as the technology, product, data and design teams to support with data-related technical matters and support data infrastructure demands.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- Provide solutions and strategies to technical challenges.
- Provide mentorship to junior colleagues and involve in knowledge development.
- Degree in Computer Science, Data Science, Statistics, Information Systems or other related fields.
- Minimum 5 years' experience as a Data Engineer.
- Skilled in big data tools such as Kafka, Hadoop, Spark with experience building and optimizing big data pipelines, architectures and datasets.
- Personal hands-on experience in building pipelines using PHP, API, SQL, VBA, R, Python, Scala, Java or C++ is an advantage.
- Capable in making sound judgement calls independently when presented with difficult decisions.
- Great project management and organizational abilities.
- Able to converse well in English and Bahasa Malaysia.
How to Apply
To apply, please click "APPLY NOW" or email Sher Wyn at Sherwyn.email@example.com. Data provided is for recruitment purposes only.
Due to the volume of applications received, we regret to inform you that only shortlisted candidates will be notified.
JTK Number: JTKSM 995 | Company Registration Number: 201301019088 (1048918-T)
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