18/03/2022
(ððððððð ðððððð)
ððšð ððð¬ðð«ð¢ð©ðð¢ðšð§
ððšð : ððð§ð¢ðšð« ðððð ððð¢ðð§ðð¢ð¬ð
ððšðððð¢ðšð§ : ððððð¥ð¢ð§ð ððð²ð
ððð¥ðð«ð² : ðððððð - ðððððð
ð§·ððððððððððððð§·
ðMinimum 2 years of experience as a Data Engineer or Data Analyst
ðPossess 2 years of experience in Python
ðInitiative to share knowledge, experience, and ideas at work.
ð§·ðððððð/ððððððððððð§·
ðKnowledge of Hadoop, Spark, and other ML tools
ðExperienced in Shell Script, Linux Configuration, MySQL, and NoSQL. Knowledge of AWS S3, FTP, and Microsoft SQL
ðStrong math skills in statistics, algebra, regression, etc.
ðAble to work under minimal supervision.
ðStrong organizational and project management skills.
ðCollaborative team player.
ðPassionate and possesses good problem-solving skills.
ðGood attention to detail to ensure data quality and integrity is upheld.
ðGuide and support a team of juniors
ðGood verbal communication skills
ð§·ððððððððððððððððð§·
âïžWriting modular, well-tested, and maintainable code.
âïžManipulating large volumes of data pre-processing that involves data transformation and data cleaning.
âïžResearching, measuring, and analyzing what works and what doesnt.
âïžExploring new technologies and analytics solutions, and using depths of knowledge in statistics and various machine learning tools to forecast and classify patterns in the data.
âïžIncreasing performance and accuracy of machine learning algorithms through fine-tuning and further performance optimization.
âïžLiaising and working closely with team and clients to clearly define and establish the requirements for each task.
âïžWorking closely with stakeholders to Identify opportunities for leveraging data to propose solutions for effective decision making.
ð§·ððððð ððð
ððððððððð§·
ð£ðð§ðð®ð¬ðð«ð² ï¹Digital Marketing
ð£ððšð«ð€ð¢ð§ð ððð²ð¬ ï¹Mon - Fri
ð£ððšð«ð€ð¢ð§ð ððšð®ð«ð¬ : 9.00am - 6.00pm
ð£ðð²ð©ð : Permanent
ð£ðð¡ð¢ðð ððšð«ð€ : No
ð£ðð«ðšðððð¢ðšð§ ððð«ð¢ðšð : 6 month
ð£ðð¥ð¥ðšð°ðð§ððð¬ : Discuss during interview
ð£ððšð§ð®ð¬ : Discuss during interview
ð£ðð§ð§ð®ðð¥ ðððð¯ð : Included
ð£ððð§ððð¢ðð¬ : EPF, Socso, EIS
ðð¥ððð¬ð ððŠðð¢ð¥ ð²ðšð®ð« ð«ðð¬ð®ðŠð ðð ð£ðð²ðððððð¥ðð§ððð ðð§ðð²@ð ðŠðð¢ð¥.ððšðŠ ððš ðð©ð©ð¥ð² ððšð« ðð¡ð¢ð¬ ð£ðšð ð©ðšð¬ð¢ðð¢ðšð§.