
Cloud Data Engineer
4 days ago
We are seeking a highly skilled Cloud Data Engineer to design and develop scalable data pipelines using cloud-based technologies.
The ideal candidate will have strong experience in AWS Glue, Databricks, Apache Spark, and Python, with a proven track record of delivering high-quality data solutions.
- Design and Develop Scalable ETL Pipelines: Utilize AWS Glue, Databricks, Apache Spark, and Python to process structured and unstructured data from diverse sources.
- AWS Services Expertise: Strong experience in Python and SQL, proven expertise in AWS services such as S3, Lambda, Glue, EMR, and Redshift, with a strong understanding of security principles and best practices for cloud-based environments.
- Data Workflow Building and Orchestration: Integrate with services like AWS Lambda, Step Functions, S3, and Redshift, ensuring high availability and performance.
Required Skills:
- 5+ years of experience in designing and implementing data pipelines on AWS
- Strong experience with AWS services such as S3, Lambda, Glue, EMR, and Redshift
- Advanced programming skills in Python for data processing and automation
- Apache Spark expertise for large-scale data processing
- SQL proficiency for data querying and transformation
Benefits:
- Opportunity to work on cutting-edge cloud-based data engineering projects
- Collaborative and dynamic work environment
- Professional growth and development opportunities
Others:
- Hands-on experience with monitoring tools and implementing proactive measures to ensure system availability and performance
- Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment
- Strong communication and collaboration skills to work effectively with cross-functional teams
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