Data Engineer
2 weeks ago
Responsibilities :
- Design, build, and operationalize large-scale enterprise data solutions and applications using one or more of AWS data and analytics services - DynamoDB, RedShift, Kinesis, Lambda, S3 Glue.
- Design and develop scalable data pipelines using Databricks and Azure Data Factory.
- Implement and optimize data warehousing solutions and Synapse Analytics for efficient data storage and retrieval.
- Build and manage data flows to ensure the integrity and consistency of data across platforms.
- Collaborate with data architects, analysts, and other stakeholders to deliver high-quality data solutions. Monitor, troubleshoot, and improve existing data processes and infrastructure.
- Candidate should have strong experience in Azure :
Experience : 5 to 8 years of relevant experience in Data Engineering
- Python
- Data Migration
- Data Warehousing
- AWS
- SQL
(ref:hirist.tech)
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