Data Engineer
Job description
About Us
We are a dynamic and innovative company looking for a skilled Cloud Database Administrator with a strong focus on Azure. Our projects involve SQL Managed Instance, Synapse Dedicated SQL Pool, and Azure SQL Database.
Requirements
Manage MS SQL Server and SQL Server Integration Services. Work with Azure BI, including Azure Synapse Analytics (Synapse Pipelines, Apache Spark for Synapse, Synapse Studio). Utilize T-SQL, PySpark/SparkSQL. Apply Python knowledge for data engineering and automation tasks.
Qualifications
Strong understanding of Azure Cloud Infrastructure (vWAN, Azure Firewall, NSG, etc.) Experience with data migration from on-premise MS SQL to cloud-based MS SQL, including MS SQL Managed Instance or Synapse Dedicated SQL Pool. Knowledge of SQL Server Infrastructure (Storage, Network, VMs, Firewalls, Active Directory).
Proficiency in Linux scripting; basic Python skills are advantageous. Experience with code repositories administration and operations (fork, merge), ideally with GitHub and Team Foundation Server.
Benefits
Opportunity to work with cutting-edge Azure technologies. A collaborative and forward-thinking work environment. Support for professional growth and certification. Remote work. Project in EU time zone. What is the hiring process? If your application is successful you will move through short phases: We'll check if your CV meets the requirements for the role, which are detailed above.
We'll arrange a 30-minute phone interview with you to talk about you and the role and gauge the relevance of your experience. We'll schedule your final interview with the team.
Description copied from Rework-space's careers page. Read the full posting before you apply.
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