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AWS Data Architect

4 months ago

Madison, United States Talent Groups Full time
  • Advanced hands-on experience designing AWS data lake solutions.
  • Experience integrating Redshift with other AWS services, such as DMS, Glue, Lambda, S3, Athena, Airflow.
  • Proficiency in Python programming with a focus on developing efficient Airflow DAGs and operators.
  • Experience with Pyspark and Glue ETL scripting including functions like renationalize, performing joins and transforming data-frames with Pyspark code.
  • 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.
  • Ability to work in a highly complex python object-oriented platform.
  • Strong understanding of ETL best practices, data integration, data modeling, and data transformation.
  • Proficiency in identifying and resolving performance bottlenecks and finetuning Redshift queries.
  • Familiarity with version control systems, particularly Git, for maintaining a structured code repository.
  • Strong coding and problem-solving skills, and attention to detail in data quality and accuracy.
  • Ability to work collaboratively in a fast-paced, agile environment and effectively communicate technical concepts to non-technical stakeholders