AWS Engineer

Job role: AWS Engineer

Experience: 5+ Years

Location: Singapore

Job Overview We are seeking an experienced AWS Data Engineer with strong expertise in building, optimizing, and managing large-scale data pipelines on the AWS cloud. The ideal candidate will have deep hands-on experience with Python, PySpark, SQL , and AWS data services, along with a solid understanding of modern data engineering and data warehousing practices.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and data processing frameworks using Python and PySpark.

Implement and optimize ETL/ELT workflows for structured and semi-structured data.

Write, optimize, and tune complex SQL queries to support analytics and reporting needs.

Design and manage cloud-based data solutions using AWS services such as S3, EMR, Glue, Lambda , and related components.

Ensure data quality, reliability, security, and performance across data platforms.

Collaborate with cross-functional teams including data analysts, data scientists, and business stakeholders.

Monitor and troubleshoot production data pipelines and improve system performance and cost efficiency.

Follow best practices in coding standards, documentation, and version control .

Required Skills & Qualifications

5+ years of experience as an AWS Engineer / Data Engineer.

Strong proficiency in Python for data processing, scripting, and application development.

Extensive hands-on experience with PySpark for large-scale data transformation and optimization.

Advanced SQL skills, including complex joins, window functions, performance tuning, and schema design.

Proven experience working with AWS data services such as S3, EMR, Glue, Lambda , and similar tools.

Solid understanding of data warehousing concepts , ETL/ELT principles , and data pipeline best practices .

Strong analytical, problem-solving, and communication skills.

Ability to work independently and in a team-oriented environment .