Tech Stack

Description

You will design, build, and maintain scalable cloud-native data pipelines and platforms using Python, Airflow, AWS Lambda, DynamoDB, and dbt. This role involves developing ETL/ELT workflows, automating infrastructure, and ensuring data quality and governance to support advanced analytics.

Requirements

• 1-3 years experience in data engineering or related field
• Proficiency in Python for data engineering
• Familiarity with Apache Airflow
• Basic understanding of AWS Lambda and serverless design
• Exposure to DynamoDB and dbt

Responsibilities

• Design, build, and maintain ETL/ELT pipelines using Python and Airflow
• Develop serverless workflows with AWS Lambda
• Implement and optimize dbt models for analytics
• Manage data storage in DynamoDB and cloud-native solutions
• Build workflow orchestration and CI/CD pipelines