Description

You will build and manage data pipelines using Airflow and Snowflake to support business-critical applications. You own the release pipeline, monitor data loads, and perform root cause analysis for failures. You implement data quality systems to ensure production accuracy. You manage cloud environments, including deployment and maintenance. You collaborate with clients to structure relevant data. You mentor offshore teams and govern application handovers through documentation.

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