Description

You will design and implement scalable data solutions on AWS and Snowflake.

This role is on-site.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using PySpark and AWS services.
• Manage Snowflake schemas, optimize queries, and handle large-scale datasets.
• Build scalable data ingestion and transformation workflows.
• Collaborate with data analysts, scientists, and stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize pipelines for performance and cost efficiency.

Required Skills

• 5+ years of experience with Snowflake (data modeling, query optimization, Snowpipe, tasks, streams).
• Proficiency in PySpark for large-scale data processing.
• In-depth knowledge of AWS services (S3, Glue, Lambda, EMR, Redshift, EC2, IAM).
• Strong SQL skills and experience with performance tuning.
• Experience building and managing data pipelines in production.
• Familiarity with CI/CD pipelines and Git.
• Strong problem-solving and analytical skills.

Preferred Skills

• Experience with data modeling and schema design in Snowflake.
• Ability to optimize for cost efficiency in cloud environments.

Key Skills

Education

Any Gradute