Job Description
Title: Data Engineer AWS Devops.
Location: Bengaluru
Exp: 3-5 years of experience
Job Description:
Experience & Background
• 3-5 years of experience in data engineering or related technical roles working with data platforms and cloud technologies.
• Hands-on experience in building and scaling data pipelines with AWS cloud services.
• Solid understanding of DevOps practices, including CI/CD pipeline automation and infrastructure automation.
Technical Skills
• Proficiency in SQL and scripting languages such as Python for data system development.
• Deep knowledge of AWS ecosystem: S3, Lambda, Glue, Redshift/EMR, Athena, IAM, RDS, etc.
• Experience with big data processing frameworks and workflow orchestration tools (such as Spark, Airflow, Kafka) is highly valuable.
• Familiarity with containerization (Docker) and orchestration tools like Kubernetes/EKS.
• Infrastructure automation skills using Terraform, CloudFormation, or CDK.
• Exposure to monitoring/observability tools like CloudWatch, Grafana, or similar systems.
Location: Bengaluru
Exp: 3-5 years of experience
Job Description:
Experience & Background
• 3-5 years of experience in data engineering or related technical roles working with data platforms and cloud technologies.
• Hands-on experience in building and scaling data pipelines with AWS cloud services.
• Solid understanding of DevOps practices, including CI/CD pipeline automation and infrastructure automation.
Technical Skills
• Proficiency in SQL and scripting languages such as Python for data system development.
• Deep knowledge of AWS ecosystem: S3, Lambda, Glue, Redshift/EMR, Athena, IAM, RDS, etc.
• Experience with big data processing frameworks and workflow orchestration tools (such as Spark, Airflow, Kafka) is highly valuable.
• Familiarity with containerization (Docker) and orchestration tools like Kubernetes/EKS.
• Infrastructure automation skills using Terraform, CloudFormation, or CDK.
• Exposure to monitoring/observability tools like CloudWatch, Grafana, or similar systems.
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