
Cloud Data Engineer
12 hours ago
We are seeking experienced cloud data engineers who specialize in designing, building, and maintaining scalable data pipelines for the AWS platform.
Key Responsibilities:
- Implement data ingestion and transformation processes to facilitate efficient data warehousing.
- Utilize AWS services such as Glue, Athena, Lambda, Redshift, Step Functions, DynamoDB, and SNS to enhance data processing capabilities.
- Optimize Spark job performance to ensure high efficiency and reliability.
- Stay proactive in learning and implementing new technologies to improve data processing frameworks.
- Collaborate with cross-functional teams to deliver robust data solutions.
- Work on Spark Streaming for real-time data processing as necessary.
Required Skills and Qualifications:
- 5-8 years of experience in data engineering with a strong focus on cloud environments.
- Proficiency in PySpark or Spark is mandatory.
- Proven experience with data ingestion, transformation, and data warehousing.
- In-depth knowledge and hands-on experience with cloud services (AWS).
- Demonstrated ability in performance optimization of Spark jobs.
- Strong problem-solving skills and the ability to work independently as well as in a team.
- Cloud Certification in AWS is a plus.
- Familiarity with Spark Streaming is a bonus.
Benefits:
As a cloud data engineer at our company, you will have the opportunity to work on challenging projects, develop your skills, and advance your career.
How to Apply:
To apply for this position, please submit your resume and cover letter. We look forward to hearing from you
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