Description

You will build and manage data pipelines using Airflow and Snowflake to support business-critical applications.

You will own the release pipeline, monitor data loads, and perform root cause analysis for failures.

Responsibilities

• Build and manage data pipelines using Airflow and Snowflake.
• Monitor data loads and perform root cause analysis for failures.
• Implement systems to monitor data quality and ensure availability.
• Manage cloud environments, including deployment, maintenance, and integration.
• Mentor offshore teams and govern application handover processes.

Required Skills

• 5+ years of experience performing ETL work using stored procedures.
• 6+ years of experience with AWS services including S3, Lambda, MWAA (Airflow), Secrets Manager, and CloudWatch.
• 3+ years of experience in data ingestion, transformation, and loading using Snowflake or SQL.
• 2+ years of hands-on experience coding in Python and Unix.
• Strong expertise in relational database concepts, dimensional/snowflake data modeling, and query optimization.
• Proficiency in AWS IAM, CloudFormation, and CI/CD workflows.
• Ability to perform data and code analysis to troubleshoot complex data issues.

Preferred Skills

• Experience managing cloud environments from a holistic architectural perspective.
• Ability to conduct migrations of tools and elements into cloud structures.

Key Skills

Education

Any Gradute