
Cloud Data Engineer
3 days ago
**Job Opportunity: Cloud Data Engineer**
We are seeking a skilled and experienced Cloud Data Engineer to join our team. In this role, you will design, implement, and optimize data pipelines on AWS using PySpark, AWS Glue, and AWS Data Pipeline.
Main Responsibilities:
- Design and develop Extract, Transform, and Load (ETL) processes using AWS Glue and PySpark to efficiently process large datasets.
- Build and manage automated data workflows using AWS Data Pipeline, ensuring seamless scheduling, monitoring, and management of data jobs.
- Work with different AWS data storage services (e.g., S3, Redshift, RDS) to ensure smooth integration and movement of data across platforms.
- Optimize and scale data pipelines for high performance and cost efficiency, utilizing AWS services like Lambda, S3, and EC2.
Requirements:
- 6-10 years of experience in data engineering, specifically in cloud environments like AWS.
- Proficiency in PySpark for distributed data processing and transformation.
- Solid experience with AWS Glue for ETL jobs and managing data workflows.
- Hands-on experience with AWS Data Pipeline (DPL) for workflow orchestration.
- Strong experience with AWS services such as S3, Lambda, Redshift, RDS, and EC2.
About the Role:
This is an exciting opportunity to work with a talented team of data engineers and contribute to the development of innovative data solutions.
What We Offer:
- A dynamic and collaborative work environment.
- The opportunity to work with cutting-edge technologies and tools.
- Ongoing training and professional development opportunities.
Location: Bangalore, Hyderabad.
Schedule: Full Time.
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