AI DATA ENGINEER

Ridik Pte. Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Ridik Pte. Ltd. seeks an experienced AI Data Engineer to join our team in Southeast Asia. You will build and maintain data infrastructure for AI applications, collaborating with data scientists to provide essential datasets and ensure robust data quality.

Responsibilities include designing data pipelines, optimizing storage and retrieval, and monitoring data systems for performance and reliability. Strong knowledge of big data tech and modern data platforms is highly valued.

Qualifications

• 4–5 years of experience in data engineering or a related field.
• Proficient in Python, Java, or Scala.
• Experience with data warehousing solutions such as AWS Redshift, Google BigQuery, or Snowflake.
• Familiarity with big data technologies like Hadoop, Spark, and Kafka.
• Strong understanding of SQL and NoSQL databases.
• Knowledge of machine learning concepts and data preprocessing techniques.
• Experience with ETL tools and data integration techniques.

Responsibilities

• Design and implement data pipelines for AI applications.
• Collaborate with data scientists to understand data requirements and provide necessary datasets.
• Optimize data storage and retrieval processes for efficiency and performance.
• Ensure data quality and integrity throughout the data lifecycle.
• Monitor and troubleshoot data systems and workflows.

Skills

Data engineering

Python/Java/Scala

ML concepts

Tools

AWS Redshift

Google BigQuery

Snowflake

Hadoop

Spark

Kafka

SQL

NoSQL

ETL tools

Job description

De ion

We are seeking an experienced AI Data Engineer to join our team in Southeast Asia. The ideal candidate will have a strong background in data engineering with a focus on building and maintaining data infrastructure for AI applications.

Responsibilities

• Design and implement data pipelines for AI applications.
• Collaborate with data scientists to understand data requirements and provide necessary datasets.
• Optimize data storage and retrieval processes for efficiency and performance.
• Ensure data quality and integrity throughout the data lifecycle.
• Monitor and troubleshoot data systems and workflows.

Skills and Qualifications

• 4-5 years of experience in data engineering or a related field.
• Proficient in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions such as AWS Redshift, Google BigQuery, or Snowflake.
• Familiarity with big data technologies like Hadoop, Spark, and Kafka.
• Strong understanding of database systems (SQL and NoSQL).
• Knowledge of machine learning concepts and data preprocessing techniques.
• Experience with ETL tools and data integration techniques.