
Data Engineering Professional
2 days ago
We are seeking a seasoned Cloud Data Engineer to design, build, and maintain scalable data pipelines for cloud platforms.
Our ideal candidate will have a strong background in data engineering with a focus on data ingestion, transformation, and warehousing. They should possess excellent knowledge of PySpark or Spark, and a proven ability to optimize performance in Spark job executions.
The successful candidate will be responsible for implementing data ingestion and transformation processes to facilitate efficient data warehousing, utilizing cloud services such as AWS Glue, Athena, Lambda, Redshift, Step Functions, DynamoDB, SNS.
To excel in this role, you will need:
- 5-8 years of experience in data engineering with a strong focus on cloud environments.
- Proficiency in PySpark or Spark is mandatory.
- In-depth knowledge and hands-on experience with cloud services(AWS).
- Demonstrated ability in performance optimization of Spark jobs.
Key Responsibilities:
- Design and implement scalable data pipelines for cloud platforms
- Develop and maintain data ingestion and transformation processes
- Utilize cloud services such as AWS Glue, Athena, Lambda, Redshift, Step Functions, DynamoDB, SNS
Requirements:
- 5-8 years of experience in data engineering with a strong focus on cloud environments
- Proficiency in PySpark or Spark is mandatory
- In-depth knowledge and hands-on experience with cloud services (AWS)
Benefits:
- Opportunity to work with cutting-edge technologies
- Collaborative and dynamic work environment
- Professional growth and development opportunities
What We Offer:
- Competitive salary and benefits package
- Opportunity to work with a talented team of professionals
- Professional growth and development opportunities
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