Cloud architect

The AWS Redshift Data Engineer role is highly specialized and technical, focusing on the integration and optimization of data systems using AWS services.

It requires a deep understanding of AWS infrastructure, data engineering best practices, and programming skills.

The job involves significant collaboration with various teams, a strong emphasis on performance tuning and optimization, and the ability to automate and streamline data workflows.

This role is critical for organizations looking to leverage data effectively through robust and scalable AWS-based solutions.

Top Skills (3) & Years of Experience:

3 years advanced hands-on experience designing AWS data lake solutions

Integrating Redshift with other AWS services, such as:

• DMS
• Glue
• Lambda
• S3
• Athena
• Airflow
• Experience with Pyspark
• Experience with Glue ETL scripting including functions like:
• Relationalize
• Performing joins
• Transforming dataframes with Pyspark code

Nice to Have:

• Proficiency in Python programming with a focus on developing efficient Airflow DAGs and operators
• Competency developing CloudFormation templates to deploy AWS infrastructure including YAML defined IAM policies and roles
• Experience with Airflow DAG creation
• Familiarity with debugging serverless applications using AWS tooling like CloudWatch Logs & Log Insights, CloudTrail, IAM.

Desired titles: AWS Redshift Data Engineer, AWS Cloud Data Engineer, Senior Data Engineer - AWS Redshift, AWS Data Integration Engineer.

• Dice Id: 91099677
• Position Id: 8321098