Description

You will design and build an enterprise-level data platform to support analytical solutions for internal clients.

Responsibilities

• Architect and implement enterprise data platform solutions.
• Collaborate with data engineering, product managers, and science teams.
• Shape and deploy new analytical solutions to support business requirements.
• Manage and maintain cloud data engineering practices following industry standards.

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.
• Extensive knowledge of AWS services including S3, EC2, RDS, Lambda, CloudFormation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups.
• Experience with data warehousing platforms such as Snowflake or Redshift.
• Proficiency with database technologies including SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, and Redis.
• Experience with CI/CD tools and automation using GitHub Actions, Jenkins, AWS Code Pipeline, CloudFormation, or Terraform.
• Strong scripting skills in Python and/or PowerShell.
• Deep understanding of IAM roles, policies, and AWS cloud monitoring/alerting.
• Ability to interpret enterprise application architecture diagrams and IT security requirements.

Preferred Skills

• Experience with large-scale enterprise streaming services like Kafka.
• Experience with Kubernetes, Docker, or AWS Fargate.

Key Skills

Education

Any Graduate