Description

You will design, implement, and optimize data services and pipelines to support business needs and enable operational data analysis.

Responsibilities

• Design and build scalable data architectures and eventing systems.
• 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.

Required Skills

• 8+ years of experience in data engineering, data architecture, and eventing systems.
• Extensive experience with 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.
• Experience with schema design, query tuning, and search optimization.
• Bachelor's degree in Computer Science, Information Technology, or a related field.

Key Skills

Education

Bachelor's degree