Company

Anonymous

Industry

Human Resources

Location

Selangor

Company Description
Our Client is a human resources (“HR”) technology company creating a Predictive Talent Platform, the next generation decision platform for recruitment and talent management. Combining HR best practices with artificial intelligence, we develop deep actionable insights into people and organizations in ways not possible before, creating new golden standards for HR practitioners globally. Our Client is founded and led by experienced professionals from the technology and HR industries, and the Our Client’s team is currently based across Kuala Lumpur and Singapore.

Data Engineer

Anonymous

Salary Budget: Please log into your account to check the details.
Job Type: Permanent
Location: Selangor
Special Requirements:

Rewards

Referral
CV Offer: USD210
Contact Offer: USD70
Placement
CV Offer: USD1400
Contact Offer: USD560
Posting Date: 11-23-2019
Expiry Date: 06-30-2020

JOB DESCRIPTION

ROLE

We are looking for an experienced Data Engineer who will be working along with our team of Data Scientists and IT Engineers in the development of our product that is set to transform how organizations identify and develop talent. You are expected to contribute to data extraction and aggregation strategies, and to work alongside the data science and IT teams in the execution of projects.

This is a rare and unique opportunity for you to be a key contributor to the development of a significant product that will impact the future of HR globally. If you are passionate about truly changing the world and making a big impact, building great products, working and thriving in an environment of focused and committed teams, we would love to talk with you.

RESPONSIBILITIES

  Create and build data pipeline architecture for optimal data collection.

  Tight collaboration with the technical team (software engineers and data scientist) to ensure optimal data delivery which is consistent throughout ongoing projects.

  Strategize and create web crawling tools

  Identify, design and implement internal process improvements such as automating manual processes, data delivery and re-designing cloud infrastructure for greater scalability.

  Build the infrastructure required for data extraction, transformation and loading (ETL) from a wide variety of data sources using SQL, NoSQL, or unstructured data technologies.

  Work with stakeholders including C-Suite and tech team to assist with data-related technical issues and support their data infrastructure needs.

  Create data tools for analytics and assisting data scientists in building and optimizing our product into an innovative leader.

REQUIREMENTS

  Bachelor’s degree required with at least 2 – 3 years of experience in a Data Engineer role, who has attained a degree in computer science, electrical engineering, informatics or any other quantitative field.

  Advanced working knowledge of SQL and experience in relational databases, as well as working familiarity with a variety of other NoSQL technologies (MongoDB, HBase, DynamoDB, Cassandra, Redis, Neo4J, etc).

  Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

  Strong analytic skills related to working with unstructured datasets.

  Experience with big data tools: Pytorch, Spacy, Hadoop, Spark, Kafka, etc.

  Experience in different scripting languages: Python, Java, C++, Scala, etc.

  Experience in building processes to support data extraction, transformation and loading (ETL).

  History of manipulating, processing and extracting values from large disconnected datasets.

  Experience in AWS cloud services.

  Experience supporting and working with cross-functional teams in a dynamic environment.

  Highly motivated and self-directed individual who is excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of product and data.

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