Description

You will design and implement end-to-end data solutions across cloud environments.

Responsibilities

• Architect, design, and implement data pipelines for structured and unstructured data sources.
• Translate business requirements into functional and non-functional specifications (e.g., Availability, Scalability, Security).
• Build and manage Data Lakes, Data Warehouses, and Data Integration solutions on Cloud platforms.
• Execute data migration and Business Intelligence/AI solutions using cloud services.

Required Skills

• 10+ years of experience in Technical, Solutioning, and Analytical roles.
• 5+ years building Data Lakes, Data Warehouses, and Data Integration solutions on GCP, AWS, or Azure.
• Experience with distributed computing and enterprise environments like Hadoop.
• Proficiency in Data Integration and ETL technologies on Cloud (Spark, PySpark/Scala, Dataflow, DataProc, EMR).
• Strong SQL and MySQL experience.
• Ability to define non-functional boundaries regarding performance and resilience.

Key Skills

Education

Not specified