Description

You will architect and manage data solutions across complex landscapes, designing warehouses, lakes, and customer data management systems. This role is on-site.

Responsibilities

• Design and implement data warehouses and data lakes using Big Data ecosystems.
• Develop data solutions leveraging Hadoop, GCP (Dataflow, Dataproc), and AWS components.
• Perform deep data exploration, analysis, and define strict data mappings to ensure quality.
• Manage customer data management (Customer 360) initiatives and data architecture.
• Utilize Kubernetes containers for deployment and orchestration of data services.

Required Skills

• 14+ years of overall IT experience with expertise in Data Warehousing.
• Hands-on experience with Big Data and the Hadoop ecosystem.
• Proficiency in SQL, Python, or Spark for data processing.
• Experience with GCP platform components like Dataflow and Dataproc.
• Familiarity with AWS and GCP cloud platforms.
• Strong capability in Data Mapping and data quality assurance.
• Experience with Kubernetes containers.

Key Skills

Education

Any Gradute