Data Engineer (AWS Glue, redshift, python , AI) - 10k

Randstad Singapore; Singapore; On-site; SGD 90,000 - 180,000; Full time

Job summary

Randstad Singapore is seeking a technical specialist to spearhead the development and maintenance of cutting-edge data architecture and next-generation intelligence tools. The role involves designing analytics repositories, building scalable cloud pipelines, ensuring data quality and security, and exploring LLM-driven automation to improve workflows across the organization.

Ideal candidates will monitor industry trends and implement modern digital capabilities to optimize operations and drive

Qualifications

• Strong hands-on experience in ETL/ELT pipeline development.
• Proficient in data transformation, cleaning, and modeling.
• Good experience with SQL and large datasets.
• Familiar with Airflow, AWS Glue ,S3 , Redshift , Lambda.
• Experience working with LLMs (e.g. OpenAI, Claude, or QWEN).

Responsibilities

• Drive the design, deployment, and optimization of corporate analytics repositories and cloud-native architecture.
• Build and integrate scalable pipelines for data transformation, ingestion, and storage using cloud services.
• Oversee data quality, security protocols, governance frameworks, and overall infrastructural reliability.
• Conceptualize and implement advanced language model applications, cognitive assistants, and automated workflow solutions.
• Monitor industrial trends to implement modern digital capabilities and optimize current organizational operations.

Skills

ETL/ELT pipelines

Data transformation

SQL

LLM systems

Cloud architecture

Tools

Airflow

AWS Glue

S3

Redshift

Lambda

Job description

about the job. An exciting opportunity has arisen for a technical specialist to spearhead the development and maintenance of cutting-edge data architecture and next-generation intelligence tools.

• Drive the design, deployment, and optimization of corporate analytics repositories and cloud-native architecture.

• Build and integrate highly scalable pipelines for data transformation, ingestion, and storage using cloud services.

• Oversee data quality, security protocols, governance frameworks, and overall infrastructural reliability.

• Conceptualize and implement advanced language model applications, cognitive assistants, and automated workflow solutions.

• Monitor industrial trends to implement modern digital capabilities and optimize current organizational operations.

skills and experience required.

• Strong hands-on experience in ETL/ELT pipeline development
• Proficient in data transformation, cleaning, and modeling
• Good experience with SQL and working with large datasets
• Familiar with Airflow, AWS Glue ,S3 , Redshift , Lambda
• Experience working with LLMs (e.g. OpenAI, Claude, or QWEN)

Desired Skills and Experience

• AWS Glue
• Redshift
• Python
• Data engineering