We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms. You will work closely with data analysts, data scientists, and software engineers to develop reliable data solutions that support analytics, reporting, and business intelligence initiatives.
- Salary Package: Up to $9,000 (Basic, commensurate with experience) + AWS
- Working Hours: Mon-Fri
- Working Location: Central
Key Responsibilities- Design, develop, and maintain scalable data pipelines using Python and cloud-native technologies.
- Build and optimize ETL/ELT workflows to ingest, transform, and process structured and unstructured data.
- Develop and manage data lakes, data warehouses, and data integration solutions on AWS.
- Ensure data quality, integrity, security, and governance across data platforms.
- Optimize data processing performance and troubleshoot pipeline issues.
- Collaborate with cross-functional teams to understand business and technical data requirements.
- Implement data validation, monitoring, and automated testing for data pipelines.
- Support batch and real-time data processing solutions.
- Document data architecture, workflows, and technical specifications.
- Continuously improve data engineering practices and adopt industry best practices.
Requirements- Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related discipline.
- Minimum 5 years of experience in Data Engineering or related roles.
- Strong programming experience in Python.
- Hands-on experience with AWS services such as S3, Lambda, Glue, EMR, Redshift, Athena, ECS/EKS, or Step Functions.
- Strong knowledge of SQL and relational databases.
- Experience building ETL/ELT pipelines and data integration solutions.
- Familiarity with data warehouse and data lake architectures.
- Experience with Git and CI/CD practices.
- Strong analytical, problem-solving, and communication skills.
Preferred Skills- Apache Spark, PySpark, or Databricks
- Apache Airflow or similar workflow orchestration tools
- Docker and Kubernetes
- Terraform or Infrastructure as Code
- Kafka or event-driven data streaming
- Snowflake, Redshift, PostgreSQL, or other modern data platforms
- Agile/Scrum development methodology
What's Offered- Opportunity to work on large-scale cloud and data transformation projects.
- Exposure to modern AWS cloud technologies and data engineering best practices.
- Collaborative and fast-paced Agile environment.
- Career growth and continuous learning opportunities.
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Elane YapTheng Yu- R1989397
ScienTecConsulting Pte Ltd - 11C5781