QUANTEXA DATA ENGINEER

Early Applicant

Exp: 5-7 Years

7,000 - 10,000 SGD/m

Job Description

Job Description:

Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.
Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.
Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.
Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.
Monitor and optimize data workflows for performance, reliability, and scalability.
Document data processes and ensure best practices in data engineering are followed.
Participate in code reviews and contribute to the continuous improvement of our data engineering practices.
Skills:Data analytics, Quantexa,Spark,Scala,Elastic search,AWS,Azure,GCP, Analytics.

Requirements:

Proven experience as a Data Engineer, with a strong focus on Spark and Scala.
Proficiency in Elasticsearch for search and analytics applications.
Familiarity with Quantexa or similar tools for data enrichment and entity resolution.
Experience with cloud platforms (AWS, Azure, GCP) is a plus.
Strong SQL skills and experience with relational databases.