AWS Data Solutions Architect
1 dzień temu
We are seeking an experienced AWS Data Solutions Architect to join our team at Engenious. As a key member of our data architecture team, you will be responsible for designing and developing streaming data solutions using Databricks, Spark, PySpark, and Pandas.
Key Responsibilities:- Design and develop streaming data pipelines 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.
- 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.
- Knowledge of CI/CD tools like AWS CodePipeline, Terraform.
- Experience with containerization (Docker, Kubernetes).
- Familiarity with data modeling tools (ERwin, Power Designer).
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Data Solutions Architect
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