- Experience
- 3+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 week ago
- Work mode
- In office
- Resume
- Required to apply
Where you'll work
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Job description
About the Role
Join our innovative team as an AWS Data Engineer based in Singapore. This role involves designing, building, and maintaining efficient and scalable data pipelines on Amazon Web Services. You will tackle complex data engineering challenges and work closely with various teams to drive business insights.
Key Responsibilities
- Create, optimize, and maintain scalable data pipelines using AWS technologies.
- Develop ETL workflows with AWS components such as Glue, Redshift, S3, and Lambda.
- Uphold high standards for data quality and consistency in large datasets.
- Collaborate with business and analytics teams to translate data into actionable insights.
- Implement and adhere to security protocols to protect sensitive data.
- Continuously monitor pipeline efficiency and proactively resolve operational issues.
Candidate Profile
- At least three years of experience in data engineering utilizing AWS tools and platforms.
- Proficient in SQL and either Python or Scala programming languages.
- Familiarity with big data frameworks such as Apache Spark and Hadoop is advantageous.
- Strong grasp of ETL design methodologies and industry best practices.
- Demonstrates excellent analytical problem-solving and meticulous attention to detail.
- Effective communication skills to work well within a team setting.
Tools & software
Apache Spark
required
Amazon Redshift
required
Apache Hadoop
required
AWS S3
required
AWS Lambda
required
How they work
Communication
Teamwork & Collaboration
Problem Solving
Attention to Detail