Senior Data Engineer

LINKS HR SINGAPORE PTE. LTD.; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

A Singaporean recruitment agency is seeking a Data Engineer to design scalable data architecture and maintain robust ETL pipelines using AWS technologies. Candidates should have 4-5 years of experience, with strong skills in SQL and Python, and familiarity with data governance and security. This role offers an opportunity to work in a collaborative environment contributing to advanced data solutions.

Qualifications

• Minimum 4-5 years of experience in data engineering.
• At least 2 years in cloud-based environments (preferably AWS).
• Experience in building data models and pipelines for large-scale data.
• Strong grasp of data warehousing concepts and ELT/ETL practices.

Responsibilities

• Design and implement scalable data architecture using AWS services.
• Build and maintain ETL/ELT pipelines for data transformation.
• Ensure strong data governance and quality control.
• Collaborate with stakeholders to deliver data solutions.

Skills

Data engineering

AWS services

SQL

Python

Problem-solving

Tools

S3

Glue

Redshift

Lambda

Step Functions

Power BI

Snowflake

Databricks

Job description

• Design and implement scalable data architecture using AWS services such as S3, Glue, Redshift, Lambda, and Step Functions.
• Build and maintain robust ETL/ELT pipelines to transform raw data into clean, structured datasets.
• Ensure data solutions are reliable, high-performing, and production-ready.
• Ensure strong data governance, security, and quality control across all pipelines and datasets.
• Write clean, well-documented code and support testing, automation, and version control practices.
• Collaborate closely with analysts, business stakeholders, and IT teams to understand data needs and deliver user-friendly data solutions.
• Contribute to a knowledge-sharing culture and help uplift the technical standard of the team.

Requirements :

• Minimum 4-5 years of experience in data engineering, with at least 2 years working in cloud-based environments (preferably AWS).
• Experience in building and managing data models and data pipelines for large-scale data environments.
• Proficiency in AWS tools: S3, Glue, Redshift, Lambda, Step Functions.
• Strong problem-solving skills and ability to work independently within a cross-functional team.
• Strong SQL and Python skills for data transformation and automation.
• Hands-on experience working with various data sources, including structured and unstructured data.
• Solid grasp of data warehousing concepts, data modeling, and modern ELT/ETL practices.
• Experience in building data warehouse for a large enterprise.
• Experience with Power BI, Snowflake on AWS, or Databricks.
• Understanding of AWS-based data security and governance best practices.
• Familiarity with DevOps practices

Interested candidates please click Apply.

Please note that only shortlisted candidates will be notified. EA Registration No: R1655133 Links HR Singapore Pte Ltd | EA License No: 09C5322