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Data Engineer With Aws Redshift Jobs in Pennsylvania

Aws Data Engineer Jobs
By Capgemini At Malvern, PA, United States
Experience in deployment and operationalizing the code using CI/CD tools Bitbucket and Bamboo
Strong AWS cloud computing experience. Extensive experience in Pyspark, Lambda, S3, EMR, Redshift
Any AWS certification will be an added advantage
Should have worked on Data Warehouse/Database technologies for at least 8 years.
• Provides expert level development, system analysis, design and implementation of applications using AWS services GLUE ,S3,EMR,Cloudwatch
• Develops code that reuses objects, is well structured, includes sufficient comments, and is easy to maintain

Are you a data engineer looking for an exciting opportunity to work with AWS Redshift? We are looking for a talented individual to join our team and help us build and maintain our data pipelines. You will be responsible for designing and developing data models, ETL processes, and data warehouses to support our business needs. You will also be responsible for monitoring and optimizing performance of our data systems. If you have experience with AWS Redshift and are looking for a challenging and rewarding role, then this is the job for you!

Overview:

Data Engineers with AWS Redshift are responsible for designing, developing, and maintaining data pipelines and data warehouses using AWS Redshift. They are also responsible for ensuring data quality and integrity, and for providing data-driven insights to the organization.

Detailed Job Description:

Data Engineers with AWS Redshift are responsible for designing, developing, and maintaining data pipelines and data warehouses using AWS Redshift. They must have a deep understanding of the AWS Redshift architecture and be able to design and develop data pipelines and data warehouses that are optimized for performance and scalability. They must also be able to troubleshoot and debug data pipelines and data warehouses. Additionally, they must be able to ensure data quality and integrity, and provide data-driven insights to the organization.

What is Data Engineer With Aws Redshift Job Skills Required?

• Proficiency in AWS Redshift architecture and design
• Proficiency in SQL and database design
• Knowledge of data warehousing and ETL processes
• Knowledge of data modeling and data mining
• Knowledge of scripting languages such as Python and Bash
• Knowledge of data visualization tools such as Tableau
• Knowledge of cloud computing technologies
• Excellent problem-solving and analytical skills
• Excellent communication and interpersonal skills

What is Data Engineer With Aws Redshift Job Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering
• Experience with AWS Redshift
• Experience with data warehousing and ETL processes
• Experience with scripting languages such as Python and Bash
• Experience with data visualization tools such as Tableau
• Experience with cloud computing technologies

What is Data Engineer With Aws Redshift Job Knowledge?

• Knowledge of data warehousing and ETL processes
• Knowledge of data modeling and data mining
• Knowledge of scripting languages such as Python and Bash
• Knowledge of data visualization tools such as Tableau
• Knowledge of cloud computing technologies

What is Data Engineer With Aws Redshift Job Experience?

• 5+ years of experience in data engineering
• Experience with AWS Redshift
• Experience with data warehousing and ETL processes
• Experience with scripting languages such as Python and Bash
• Experience with data visualization tools such as Tableau
• Experience with cloud computing technologies

What is Data Engineer With Aws Redshift Job Responsibilities?

• Design, develop, and maintain data pipelines and data warehouses using AWS Redshift
• Ensure data quality and integrity
• Troubleshoot and debug data pipelines and data warehouses
• Provide data-driven insights to the organization