Job Description

Job Description :

  • 10+ years of experience in data, analytics, and architecture roles.
  • Strong hands-on experience with AWS services, including but not limited to:
  • S3, Redshift, RDS, DynamoDB
  • Glue, EMR, Athena, Lake Formation
  • Kinesis, MSK, Lambda, Step Functions
  • SageMaker (or equivalent ML services)
  • Expertise in data modeling, data lakes, data warehouses, and lakehouse architectures.
  • Experience designing and operationalizing AI/ML pipelines.
  • Strong knowledge of SQL, Python, and data processing frameworks (Spark, Presto, etc.).
  • Solid understanding of cloud security, IAM, networking, and cost optimization.
  • Strong architectural thinking and problem-solving skills.
  • Excellent communication and stakeholder management abilities.
  • Ability to work in fast-paced,...

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