Description

You will design and build enterprise-scale data platforms and lakes to support analytical solutions for internal clients.

This role is remote.

Responsibilities

• Design and build enterprise-scale data lakes and integration workflows.
• Implement cloud monitoring and alerts to ensure resource availability.
• Ensure application architectures meet enterprise IT security requirements.
• Collaborate with data engineering, product managers, and data science teams.

Required Skills

• 6+ years of experience in application/platform engineering, business intelligence, or analytics.
• 4+ years of experience in AWS cloud data engineering, management, or architecture.
• Proficiency with AWS services: S3, EC2, RDS, Lambda, CloudFormation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, and IAM.
• Experience with data warehousing platforms such as Snowflake or Redshift.
• Strong knowledge of DB technologies: SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, and Redis.
• Experience with CI/CD tools and automation: GitHub Actions, Jenkins, AWS Code Pipeline, CloudFormation, or Terraform.
• Expertise in IAM roles, policies, and security groups.
• Strong scripting skills in Python and/or PowerShell.
• Experience managing PaaS and SaaS application performance.

Preferred Skills

• Experience with large-scale enterprise streaming services like Kafka.
• Experience with Kubernetes, Docker, or AWS Fargate.
• Experience implementing applications across Windows and Linux server operating systems.

Key Skills

Education

Any Graduate