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Profile: Senior Data Engineer with strong data and native AWS skills.
Top 5 Key Skills
You have:
Ideally 6 years of software development experience in a production environment
Expertise writing and optimizing complex SQL queries for data extraction transformation and reporting (e.g. SELECT JOIN GROUP BY HAVING WINDOW functions)
Expertise integrating Redshift Serverless with AWS services such as S3 Glue Lambda Athena DynamoDB and Kinesis BI tools like Tableau Quicksight or Looker for real-time analytics and dashboards
Expertise building serverless ETL pipelines with Lambda to automate data ingestion and transformation into Redshift
Experience with Python required; React and nice to have
Experience building event-driven cloud-based serverless applications and deploying to AWS
Technical knowledge of Cloud Computing DevOps and Microservices
Excellent communication skills with the ability to present ideas in business-friendly and user-friendly language
Demonstrated ability to develop and maintain good customer working relationships
Exceptional analytical conceptual and problem-solving abilities
Proficient in designing building and deploying machine learning models using Amazon SageMaker
Able to prioritize and execute tasks in a high-pressure environment
Additional Information :
All your information will be kept confidential according to EEO guidelines.
Remote Work :
Yes
Employment Type :
Contract
Remote