dataops manager in Kuala Lumpur

posted
contact
jonathan sia, randstad
job type
permanent
salary
RM 120,000 - RM 180,000 per year

job details

posted
location
kuala lumpur, wilayah persekutuan
specialism
information technology
job type
permanent
working hours
Full-Time
salary
RM 120,000 - RM 180,000 per year
experience
5 years
reference number
91M0152546_1612599987
contact
jonathan sia, randstad
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job description

about the company

We are looking for a DataOps Manager to join one of the region innovative data team for a well known analytics consultancy firm.

  • Reporting to: Chief Technology Officer
  • Company Size: 50
  • Regions: Malaysia
  • Excellent remuneration package


about the job

  • Enhancing data collection and processing procedures and pipelines;
  • Processing, cleansing, and verifying the integrity of data used for analysis;
  • Developing processes, techniques, and tools to analyse and monitor model performance while ensuring data accuracy;
  • Coordinating with various technical/functional teams to implement models and monitor results;
  • Upholding the quality of any Company-related web products and services by testing for and resolving bugs;
  • Set standards for product/process quality and monitor the team’s output;
  • Recruit, mentor and coach the DataOps team;
  • Be responsible for the performance management of the DataOps team; and
  • Create and maintain optimal data pipeline architecture.

skill/experience

  • At least 3 years of data engineering experience (Spark, Hadoop, Apache Airflow) with 1 year in lead role.
  • Strong computing, devops or dataops background in Python.
  • Experience in working with cloud technologies platform such as AWS and GCP.
  • Technical experience building, optimising and managing data pipelines.

To apply online, please click on the appropriate link. Alternatively, please send your resume to jonathan.s@randstad.com.my (with subject title: DataOps Manager or call Jonathan at 0138168988 if you are interested with the job)

Jonathan
Manager- Technology (Cyber Security)

skills

Python, Hadoop, Apache Airflow, Spark

qualification

4 years of experience in dataops or devops background.
Strong proficiency in Python.
Experience working with cloud technologies platform such as AWS, GCP and Azure.

responsibilities

Enhancing data collection and processing procedures and pipelines;
Processing, cleansing, and verifying the integrity of data used for analysis;
Developing processes, techniques, and tools to analyse and monitor model performance while ensuring data accuracy;
Coordinating with various technical/functional teams to implement models and monitor results;
Recruit, mentor and coach the DataOps team

educational requirements

Bachelor Degree