We are looking for an experienced AWS Data Solutions Architect. A key focus will be building and managing streaming data pipelines and migrating data from RabbitMQ to Apache Pulsar. 

Key Responsibilities:

• Design and develop streaming data solutions using Databricks, Spark, PySpark, and Pandas.
• Lead the migration of streaming data from RabbitMQ to Apache Pulsar.
• Develop and manage data models (conceptual, logical, physical) for large-scale data lakes and data warehouses.
• Document data architecture and create migration plans.

Requirements:

• Minimum of 4 years of experience in AWS data architecture.
• Experience with streaming data tools such as Databricks, Spark, PySpark.
• Proficiency in AWS technologies including Lambda, Kinesis, Glue, S3, Redshift.
• Experience migrating data from on-premise systems to the cloud (AWS).
• Familiarity with databases such as SQL Server, Oracle, PostgreSQL.

Preferred Skills:

• Knowledge of CI/CD tools like AWS CodePipeline, Terraform.
• Experience with containerization (Docker, Kubernetes).
• Familiarity with data modeling tools (ERwin, Power Designer).