Hands on data engineering experience with proven track record of building production data pipelines • Expert level proficiency in Python for data processing, ETL development, and automation (PySpark) • Deep experience with AWS Glue including job development, crawlers, triggers, and workflow orchestration • Strong expertise in DynamoDB data modeling, capacity planning, streams, and performance optimization • Solid understanding of AWS ecosystem: S3, Lambda, Step Functions, CloudWatch, IAM, KMS, Kinesis • Proficiency with Postman for API development, testing, and collaboration • Strong SQL skills and understanding of data warehousing principles • Experience with version control (Git), CI/CD tools, and infrastructure as code (CloudFormation/Terraform)
Skills & Requirements
Technical Skills
PythonAws glueDynamodbS3LambdaStep functionsCloudwatchIamKmsKinesisPostmanSqlData warehousingVersion control (git)Ci/cd toolsInfrastructure as code (cloudformation/terraform)Data engineeringAwsDynamodbData warehousing