
Data Engineering Specialist
13 hours ago
Azure Data Engineer Role Overview
This is a key position in our organization's efforts to successfully migrate large-scale SQL workloads from on-premise environments to Azure. As a skilled Azure Data Engineer, you will lead the migration process, ensuring high data integrity, minimal downtime, and performance optimization.
Key Responsibilities- Data Pipeline Development: Design, develop, and manage end-to-end data pipelines using Azure Data Factory or Synapse Data Factory to orchestrate migration and ETL processes.
- Azure Data Lakes Management: Build and administer scalable, secure Azure Data Lakes to store and manage structured and unstructured data during and post-migration.
- Advanced Data Processing: Utilize Azure Databricks, Synapse Spark Pools, Python, and PySpark for advanced data transformation and processing.
- SQL Script Development: Develop and fine-tune SQL/T-SQL scripts for data extraction, cleansing, transformation, and reporting in Azure SQL Database, SQL Managed Instances, and SQL Server.
- Collaboration: Collaborate with cloud architects, DBAs, and application teams to assess existing workloads and define the best migration approach.
- Experience: 3+ years of hands-on experience in data engineering, with a clear focus on SQL workload migration to Azure.
- Technical Expertise: Deep expertise in: Azure Data Factory / Synapse Data Factory, Azure Data Lake, Azure Databricks / Synapse Spark Pools, Python and PySpark, SQL.
- SSIS Migration: Proven track record of delivering complex data migration projects (on-prem to Azure, or cloud-to-cloud).
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