Azure Data Engineer

Job Description

About the Company :

Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm.

Role:

Experience:

Skill Set:

Location:

• 5+ years of experience in software development, technical operations, and running large-scale applications.
• 4+ years of experience in developing or supporting Azure Data Factory (API/APIM), Azure Databricks, Azure DevOps, Azure Data Lake storage (ADLS), SQL and Synapse data warehouse, Azure Cosmos DB
• 2+ years of experience working in Data Engineering
• Any experience in data virtualization products like Denodo is desirable
• Azure Data Engineer or Solutions Architect certification is desirable
• Should have a good understanding of container platforms like Docker and Kubernetes.
• Should be able to assess the application/platform time to time for architectural improvements and provide inputs to the relevant teams
• Very Good troubleshooting skills (quick identification of the application issues and providing quick resolutions with no or minimal user/business impact)
• Hands-on experience in working with high-volume, mission-critical applications
• Deep appreciation of IT tools, techniques, systems, and solutions.
• Excellent communication skills along with experience in driving triage calls which involves different technical stake holders
• Has creative problem-solving skills related to cross-functional issues amidst the changing priorities.
• Should be flexible and resourceful to swiftly manage the changing operational goals and demands.
• Good experience in handling escalations and take complete responsibility and ownership of all critical issues to get a technical/logical closure.

Good understanding of the IT Infrastructure Library (ITIL) framework and various IT Service Management (ITSM) tools available in the marketplace