Senior Data Engineer_96796

Company:IT Services Organization

Key Skills: ETL, Cloud (AWS / Azure / GCP), Real-Time Customer Data Platform(RT - CDP), Data Engineering

Roles and Responsibilities:

• Design and implement ETL processes and real-time data integration solutions.
• Build and maintain scalable data pipelines and data lakes in cloud environments (AWS, Azure, GCP).
• Develop and optimize data warehouses using technologies such as Snowflake, Oracle, and MSSQL.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Utilize programming languages such as Python, Java, Scala, and SQL for data processing and analysis.
• Implement version control and CI/CD practices to ensure code quality and collaboration.
• Manage containerized applications using Docker and Kubernetes.
• Apply knowledge of the Asset/Investment Management domain to enhance data solutions.

Skills Required:

• Expertise in ETL processes and real-time data integration (RT-CDP)
• Proficiency with cloud platforms (AWS, Azure, GCP)
• Experience building scalable data pipelines, data lakes, and data warehouses
• Strong programming skills in Python, Java, Scala, and SQL
• Familiarity with version control, CI/CD, and containerized applications (Docker/Kubernetes)
• Knowledge of Asset/Investment Management domain is a plus

Education: Bachelor's degree in Computer Science, Information Technology, or a related field.