Description

Design and implement data architectures and ingestion pipelines within an AWS environment, owning the full lifecycle of data modeling, ETL operations, and BI visualization.

This role is on-site.

Responsibilities

• Collaborate with Product Owners and Business Analysts to define and refine reporting requirements.
• Design data models using Snowflake or Star schemas to support analytical workloads.
• Build and maintain data ingestion pipelines using AWS Glue in coordination with development teams.
• Implement reports and dashboards by working alongside software developers.
• Manage large-scale data volumes and perform system tuning to ensure optimal performance.

Required Skills

• 10+ years of experience with SQL and PL/SQL.
• 5+ years of experience in data modeling, specifically building Snowflake or Star schemas.
• 5+ years of experience in ETL operations, including AWS Glue.
• 5+ years of experience with BI visualization tools such as Tableau or AWS QuickSight.
• Extensive experience with AWS services including Redshift, Athena, S3, IAM, VPC, CloudFormation, and CloudWatch.
• 1-2 years of experience with Python.
• Proven ability to work within Agile environments.

Preferred Skills

• Experience with AWS Lambda, Kinesis Data Streams, and Firehose.
• Hands-on experience with NoSQL databases like DynamoDB.
• Proficiency with NodeJS.

Key Skills

Education

Any Gradute