Hiring for Data Engineer / Data Scientist
On-site Kuala Lumpur Full-time Mid-level Data Science
At a glance
Mid-level Data Science role at Two95 International Inc. Kuala Lumpur · full-time.
Pay not stated Data Engineer salary
RoleData Science
SeniorityMid-level
LocationKuala Lumpur
WorkplaceOn-site
EmploymentFull-time
PostedApr 7, 2021 · 5y ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Turn end-user needs into automated data science solutions, guiding each project from discovery through delivery
- Build and provision data pipelines that support self-service reports and dashboards
- Use R or Python to address business questions, then build repeatable Tableau analysis for end users
- Maintain BI platforms and protect the accuracy of their data sources and reported figures
- Prioritize data product and sprint backlogs using Agile Scrum, pushing back when needed
What you bring
- A degree in computer science, social sciences, physical sciences, statistics, mathematics, computer engineering or a related area
- At least four years building dependable ETL or ELT pipelines that bring together varied data sources
- Strong database experience across relational and NoSQL systems, including hands-on MPP implementation and tuning
- Production coding skills, preferably in R or Python, plus experience with machine learning projects
- Experience with data visualization tools and deploying CI/CD, infrastructure, and workflow tools in Linux
Who this fits
This mid-level, full-time role is based onsite in Kuala Lumpur. It suits someone who can own data products and analyses while working across pipelines, BI, and data science.
From the employer
Responsibilities:
- Drive the full lifecycle of Data Science projects: from gathering and understanding the end-user needs to implement a fully automated solution.
- Develop and provision of Data pipelines to enable self-service reports and dashboards.
- Deploy techniques to answer the appropriate business problems using R or Python.
- Visualize data using Tableau and create repeatable visual analysis for end users to use as tools.
- Take ownership of the existing BI platforms and maintain the data integrity and accuracy of the numbers and data sources.
- Know Agile - Scrum project management experience/knowledge - Ability to prioritise, pushback and effectively manage a data product and sprint backlog.
Requirements:
- Must have completed education from Bachelors, Masters or PHDs from Computer Science, Social Sciences, Physical Sciences, Statistics, Mathematics, Computer Engineering and any related field.
- 4+ years of experience in building out scalable and reliable ETL/ELT pipelines and processes to ingest data from a variety of data sources, preferably in the ecommerce retail industry.
- Deep understanding of Relational Database Management Systems (RDBMS) (e.g. PostgreSQL, MySQL) , No-SQL Databases (e.g. MongoDB, ElasticSearch) and hands-on experience in implementation and performance tuning of MPP databases (e.g. BigQuery).
- Experience with Tableau, Power BI, Superset or any standard data visualization tools.
- Strong proficiency in writing production-quality code preferable in R/Python, engineering experience with machine learning projects like Time Series Forecasting, Classification and Optimization problems
- Experience administering and deploying CI/CD tools (e.g. Git, Jira, Jenkins) Industrialization (e.g. Ansible, Terraform), Workflow Management ( e.g. Airflow, Jenkins, Luigi) in Linux operating system environments.
- Exhibits sound business judgment, a proven ability to influence others, strong analytical skills, and a proven track record of taking ownership, leading data-driven analyses, and influencing results.
- Solid experience in GCP
- E-commerce / logistics / fashion retail background a bonus.
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