Senior/Associate Data Engineer – RMJ Consulting MY
Role Summary
The Senior/Associate Data Engineer is responsible for architecting and developing scalable data pipelines on AWS. This role plays a crucial part in ensuring data reliability and performance while collaborating with cross-functional teams to implement effective data solutions.
Job Description
In this role, you will architect and develop scalable data pipelines on AWS, ensuring their reliability and performance. You will leverage AWS services like S3, Glue, and Redshift to create end-to-end solutions while optimizing resources for cost-effectiveness.
Key Responsibilities:
- Architect and develop scalable data pipelines on AWS.
- Leverage AWS services such as S3, Glue, and Redshift for data solutions.
- Optimize resources for cost-effectiveness in data processing.
- Collaborate with teams on data processing tasks using Python.
- Design and manage workflows using Apache Airflow.
- Work closely with stakeholders to implement effective data models.
- Monitor and optimize existing data processes.
- Maintain documentation and best practices for data engineering.
Job Requirements
Proven experience in designing and implementing data pipelines on AWS.
Strong proficiency in Python programming for data engineering tasks.
Experience with Apache Airflow for workflow orchestration.
Knowledge of AWS services such as S3, Glue, EMR, and Redshift.
Strong analytical and problem-solving skills.
Excellent communication skills for collaboration with cross-functional teams.
Quick Info
Company
RMJ Consulting MY
Location
Kuala Lumpur
Salary
Undisclosed
Skills Required
7 skills
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Required Skills
Python
Data Engineering
AWS Services
Apache Airflow
Analytical Skills
Problem-Solving
Communication
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