Description

You will architect and build scalable data integration solutions leveraging Snowflake and the AWS Cloud ecosystem.

Responsibilities

• Design and implement ETL architecture, frameworks, and best practices for large-scale data integration projects.
• Architect and optimize Snowflake data warehouse solutions, focusing on schema design and query performance.
• Lead the migration of existing data platforms to AWS cloud-native solutions.
• Develop data pipelines using ETL/ELT tools, SQL, Python, and Scala to integrate data from diverse sources.
• Drive automation of data workflows, monitoring, and error handling across pipelines.

Required Skills

• 10+ years of experience in data engineering, ETL development, or data architecture.
• Proven expertise with Snowflake, including Data Modeling, Virtual Warehouses, and Query Performance Tuning.
• Strong knowledge of AWS services: S3, Redshift, Glue, Lambda, EC2, RDS, CloudFormation, and IAM.
• Hands-on experience with ETL/ELT design using tools like Informatica, Talend, or AWS Glue.
• Strong programming skills in SQL, Python, Scala, or Java.
• Solid understanding of data lake and data warehouse architectures.
• Familiarity with DevOps and CI/CD pipelines for data deployments.

Key Skills

Education

Any Graduate