Description

You will build and manage data pipelines and warehouse architectures within an enterprise environment.

This role is on-site.

Responsibilities

• Develop and maintain data models using star schema, normalization, and denormalization techniques.
• Build, transform, and validate data through complex ETL/ELT processes.
• Implement CI/CD pipelines, production deployments, and query tuning to optimize performance.
• Perform data profiling, metric development, and troubleshooting in reporting and analytics environments.
• Follow enterprise guidelines for security, change management, and RCA during on-call rotations.

Required Skills

• 6+ years of experience with Snowflake and advanced SQL expertise.
• 4+ years of hands-on data warehouse experience including dimensions, aggregations, and data cleaning.
• 4+ years working in reporting and analytics environments.
• 3+ years of advanced Python expertise.
• 3+ years of experience with AWS, specifically Lambda, S3, SNS, SQS, and EC2.
• 3+ years of experience with ETL/ELT tools such as DBT, Informatica, Pentaho, or Fivetran.
• 3+ years developing functional metrics within a business vertical (finance, retail, or telecom).
• Proficiency with Airflow and DBT.
• Strong written and verbal communication skills for coordinating delivery and delays.

Preferred Skills

• Technical certifications from AWS, Microsoft, Azure, or GCP.
• 4+ years of team lead experience or experience in large-scale support organizations.

Key Skills

Education

Any Graduate