Description

You will design, implement, and optimize scalable data architectures and eventing systems to support business needs and operational analysis.

This role is on-site.

Responsibilities

• Drive 100% automation across data environments using infrastructure as code.
• Develop tools that empower data and services teams.
• Mentor junior engineers and influence the technical vision of the data engineering organization.
• Own and execute complex projects from conception to deployment.
• Perform schema design, query tuning, and search optimization.

Required Skills

• 8+ years of experience in data engineering, data architecture, and eventing systems.
• Extensive experience with the AWS cloud platform and its data services.
• Proficiency in Python or Java.
• Hands-on experience with Databricks, Apache Kafka, or Kinesis.
• Proficiency in automation frameworks such as Terraform or CloudFormation.
• Strong SQL skills using Redshift, Snowflake, or RDS.
• Experience with NoSQL databases like DynamoDB.
• Knowledge of building CI/CD pipelines and testing frameworks like dbt.

Preferred Skills

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Key Skills

Education

Bachelor's degree