Job Description

Position Description:

. Data modeling, transformation, and ETL pipeline design
. Mastery of data structures, optimized formats (Parquet, ORC), and schemas for efficient querying
. Design, configuration, development, and management of pipelines via SDLF and AWS services (Glue, Lambda, Step Functions, EventBridge, DynamoDB, Athena, Iceberg, etc.)
. Data processing with PySpark and Python
. Effective use of S3 and Athena
. Monitoring setup with CloudWatch and CloudTrail
. Data migration to S3 via AWS DMS
. Advanced knowledge of AWS ecosystem: EC2, VPC, API Gateway, IAM, CloudFormation, LakeFormation, RDS, SNS, SQS, SDK, CDK
. Strong application of AWS security best practices (encryption, access control, IAM roles, etc.)

Skills:

  • Analytical Thinking
  • Data Modeling
  • ETL

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