Description

You will design, develop, and optimize ETL workflows and data pipelines.

Responsibilities

• Implement data ingestion from APIs, databases, and flat files.
• Ensure data quality, integrity, and consistency across all ETL processes.
• Collaborate with data architects, analysts, and business stakeholders on data requirements.
• Monitor and troubleshoot ETL job performance issues.
• Automate data workflows and implement CI/CD practices for data pipeline deployment.

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.
• Experience working with APIs, databases, and flat files.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.

Preferred Skills

Key Skills

Education

Bachelor's degree