Posted on: 20/05/2026
Description :
We are seeking a highly skilled Data Engineer with strong expertise in ETL, Data Warehousing, and AWS Cloud technologies. The ideal candidate will design, develop, and optimize data pipelines, ensuring scalable and efficient data solutions across the organization.
Responsibilities :
- Build and maintain data warehouses leveraging AWS Redshift and Glue.
- Develop scalable data pipelines using Python and PySpark.
- Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
- Ensure data integrity, performance optimization, and security compliance in all cloud-based
solutions.
- Provide clear documentation and communicate technical concepts effectively to both
technical and non-technical stakeholders.
Requirements :
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related
field.
- Proven track record of delivering scalable and efficient data pipelines.
Required Skills (Non-Negotiable) :
- SQL, Data Warehousing and ETL expertise.
- AWS Cloud proficiency.
- Strong knowledge of Redshift and Glue.
- Programming skills in Python and PySpark.
- Excellent communication and soft skills.
Preferred Skills (Good to Have) :
- Experience with other AWS services Lambda, S3 Athena, DynamoDB.
- Exposure to Tableau or other BI tools for visualization.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1637569