Description

Design and implement holistic data integration architectures across cloud and on-premise environments.

Responsibilities

• Define architecture, guiding principles, and integration models for cloud-native and open-source stacks.
• Design and implement data warehouse ecosystems in Azure, AWS, or Google using cloud-native ETL solutions.
• Develop and re-engineer data acquisition, storage, processing, security, and management workflows.
• Establish engineering standards for ETL/ELT, replication, ESB, and APIs.
• Conduct review sessions with developers to ensure adherence to integration standards.

Required Skills

• 12+ years of experience in ETL Architecture.
• 5+ years of experience in Cloud environments (AWS, Azure, or Google).
• 5+ years of experience performing data migrations from on-premise to cloud.
• 7+ years of experience with SQL, Stored Procedures, Python, Java, and Shell Scripting.
• 5+ years of experience with data replication tools such as GoldenGate, Autunity, or Striim.
• Proven track record of at least 3 major Data Warehouse implementations from scratch.
• 3-5 years of deep understanding of dimensional modeling and OLTP.
• Proficiency with tools including Informatica, Matillion, Fivetran, AWS Glue, and ADF.
• Experience with DevOps processes.

Key Skills

Education

Any Graduate