Description

You will design, develop, and optimize ETL workflows and data pipelines, ensuring data quality and integrity across ingestion processes.

This role is on-site.

Responsibilities

• Implement data ingestion from APIs, databases, and flat files.
• Monitor and troubleshoot ETL job performance issues.
• Automate data workflows and implement CI/CD practices for deployment.
• Collaborate with data architects and stakeholders on data requirements.

Required Skills

• 12+ years of experience in ETL development and data engineering.
• Hands-on experience with Snowflake, including data modeling, performance tuning, and SQL scripting.
• Proficiency in AWS services: S3, Lambda, Glue, Redshift, 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 (Git) and CI/CD pipelines.

Preferred Skills

• Bachelor's degree in Computer Science or related field.
• Experience with API integration and flat file processing.

Key Skills

Education

Bachelor's degree