Description

You will build and manage the enterprise data foundation using modern cloud architectures.

Responsibilities

• Design and implement Data Lake House solutions for enterprise data storage and governance.
• Develop and optimize Data Pipelines for data ingestion and transformation.
• Automate infrastructure and deployment processes using DevOps principles.
• Ensure data availability and delivery to analytical users on time.

Required Skills

• 3-5 years of experience in AWS cloud development and DevOps.
• 1-2 years experience with Data Lake, Data Pipeline, or Lake House implementation.
• Proficiency in Python, Scala, Javascript, or Java.
• Experience with Serverless architectures, AWS CDK, or SAM.
• Hands-on experience with Infrastructure as Code tools like Terraform or Stacker.
• Familiarity with CI/CD practices and monitoring/observability.
• Any Graduate degree.

Key Skills

Education

Any Graduate