Description

Design and build scalable data infrastructure, pipelines, and warehouses.

This role is on-site.

Responsibilities

• Design and implement ETL processes and real-time data integration solutions.
• Build and maintain scalable data pipelines and data lakes in cloud environments.
• Develop and optimize data warehouses using Snowflake, Oracle, and MSSQL.
• Implement version control and CI/CD practices for containerized applications.
• Collaborate with teams to understand data requirements and deliver solutions.

Required Skills

• 8+ years of professional experience in data engineering.
• Expertise in ETL processes and real-time data integration (RT-CDP).
• Proficiency with cloud platforms including AWS, Azure, and GCP.
• Strong programming skills in Python, Java, Scala, and SQL.
• Experience building scalable data pipelines, data lakes, and data warehouses.
• Familiarity with containerized applications (Docker/Kubernetes).

Key Skills

Education

Any Graduate