Description

You will own the design, development, and optimization of ETL workflows and data pipelines.

Responsibilities

• Design, develop, and optimize ETL workflows and data pipelines using Snowflake and AWS services.
• Implement data ingestion from APIs, databases, and flat files.
• Ensure data quality, integrity, and consistency across all ETL processes.
• Monitor and troubleshoot ETL jobs and performance issues.
• Automate data workflows and implement CI/CD practices for data pipeline deployment.

Required Skills

• 9+ years of experience in ETL development and data engineering.
• Hands-on experience with Snowflake, including data modeling and SQL scripting.
• Proficiency in AWS services such as S3, Lambda, Glue, Redshift, and CloudWatch.
• Strong programming skills in Python or Scala for data processing.
• Experience with orchestration tools like Apache Airflow or AWS Step Functions.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree