Description

Design and implement enterprise data warehouse solutions and cloud-native data architectures.

You will own the solution architecture for Snowflake, Postgres, Oracle, and Microsoft technologies.

Responsibilities

• Build Snowflake virtual data warehouses, databases, views, and stored procedures.
• Develop data pipelines using S3/Blob, Stages, Streams, Tasks, Snowpipe, and Time Travel.
• Implement ETL processes to load data into Snowflake using tools like Talend, Informatica, Matillion, or Stitch.
• Analyze requirements and define solution architectures for cloud-native data solutions.

Required Skills

• 8+ years of experience developing enterprise data warehouses.
• 2+ years of experience in requirement analysis and solution architecture.
• 2+ years of experience developing cloud-native data solutions on AWS or Azure.
• Deep understanding of cloud concepts including Storage, Compute, Network, and Managed Services.
• 1+ years of experience with Snowflake storage and compute separation.
• 1+ years of experience building Snowflake data pipelines and transformation scripts.
• Proficiency in data modeling methodologies such as Kimball, Inmon, or Data Vault.
• Proficiency with Informatica or similar ETL tools.

Preferred Skills

• Experience with Snowflake data shares or Data Marketplace.
• Experience with Spark.

Key Skills

Education

Any Graduate