Required Skills: CloudFormation, S3, Athena, Glue, EMR, Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager

Job Description

• Bachelor’s degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.
• 5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.
• Strong programming experience with Python, Shell scripting, and SQL.
• Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.
• Experience in serverless application development and data pipeline orchestration.
• Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.
• Knowledge of ETL/ELT, data modeling, and big data technologies.
• Familiarity with data warehousing concepts and cloud-based architecture.
• Strong problem-solving skills and attention to detail