Company Description

Education

Profile: Senior Data Engineer with strong data and native AWS skills.

Top 5 Key Skills Advanced AWS Data Engineering (Redshift, S3, Lambda, DynamoDB, Glue, Athena, Step Functions, SNS/SQS) Complex SQL Query Development & Optimization Python for ETL and Automation Serverless ETL Pipeline Design (especially AWS Lambda + Redshift integration) BI Tools & Real-time Analytics (e.g., Quicksight, Tableau, Looker) 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 Node.js 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

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