Country : Malaysia
  • Full-time

Data Engineer

At Pulsifi, we believe that there is a pulse to each person, that defines who we are, what we are good at, and what we can become. We help people and organizations realize their pulse.

Pulsifi is a 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.

Pulsifi is founded and led by experienced professionals from the technology and HR industries, and the team is currently based across Kuala Lumpur and Singapore.


Pulsifi is 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 a you to be a key contributer 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.​

  • 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 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 innovative leader.


  • Bachelor degree required with at least 2 – 3 years experience in Data Engineer role, who has attained 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 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 dynamic environment.
  • Highly motivated and self-directed individual which 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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Total applicants :10 Job posted 10 months ago Total Views : 265 Unique Views : 265

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