Posted on: 11/08/2025
Job Description :
We are seeking a highly skilled AWS Data Engineer with strong hands-on experience in Python, PySpark, and a wide range of AWS services. The ideal candidate should have excellent analytical skills and the ability to develop scalable data processing solutions while meeting complex business requirements.
Key Responsibilities :
- Develop and maintain data pipelines using AWS services such as S3, Lambda, Glue, EMR, Athena, SNS, IAM, etc.
- Write efficient and scalable code using Python and PySpark for big data processing.
- Perform in-depth SQL queries to analyze data and fulfill complex business needs.
- Work with tools such as EMR Notebooks, MapReduce, and Visual Studio Code or equivalent.
- Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.
- Troubleshoot and optimize existing data workflows for performance and scalability.
Required Skills :
- Strong hands-on experience with AWS services including: S3, Lambda, EMR, SNS, IAM, Glue, Athena, etc.
- Proven development experience with Python and PySpark.
- Proficiency in SQL for data analysis and transformation.
- Familiarity with EMR Notebooks, MapReduce processing, and modern development tools like VS Code.
- Strong analytical and problem-solving abilities.
Experience :
- 5+ years of experience in data engineering or relevant field.
Did you find something suspicious?
Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1528356
Interview Questions for you
View All