Technical Support Engineer

Role: Technical Support Engineer – Azure ADF

Experience: 3+ Years

Location: Hyderabad

Payroll: LTIMindtree

Job Description:

Roles and Responsibilities:

• The person in this position will work in a team environment to support applications using Microsoft Data Access Technologies. The role of a Support Engineer within the DS group focuses on delivering high quality technical support to developer communities.
• The core duty requires providing fast and accurate resolutions to technically complex, politically charged customers while representing Microsoft in a positive, professional manner. DSD provides 24x7 support and may require candidates to workday, evening, night, and weekend as needed.
• The customer base ranges from small developer to large, sophisticated enterprise customers. Candidates should be comfortable discussing complex technical scenarios and solutions with varying customer skill levels leading to a deep understanding of the issue, root cause and resolution options.

Key success factors include:

• Customer management and teaming skills
• Logical and Critical thinking skills
• Deep technical, programming skills
• Passion for technology and learning

Experience in designing and hands-on development in cloud-based analytics solutions .

• Having 1-2 years of experience in Azure cloud services
• Having experience in Azure resources like Azure Data Factory, Azure Synapse Analytics , Azure Blob, ADLS, Azure Data Lake
• Storage Gen1 and Gen2, Logic Apps, Key Vault, Azure SQL DB and Synapse
• Hands-on experience in Azure Data factory and its Core Concept's like Linked Services, Datasets.
• Data Flows, Pipelines, Activities and Triggers, Integration Runtime, Self-Hosted Integration Runtime.
• Designed and developed data ingestion pipelines from on-premises to different layers into Azure Built Dataflow transformations.
• Worked on Copy Data activity, Get Metadata Activity, look up, Filter, Store Procedure, For-each, IF and execute Pipeline activities
• Implemented dynamic pipeline to extract the multiple files into multiple targets with the help of single pipeline.
• Strong Knowledge on Parameterization of Linked Services, Datasets Pipelines, Activities.
• Pipeline execution methods (Debug vs Triggers).
• Experience in scheduling the pipelines and monitoring the pipelines through the monitor tab.
• Experience in creating alerts on the pipelines level and activity level.
• Stack (Including Compute, Function App, Blobs, Resource Groups, Azure SQL, Cloud Services, and ARM),
• Focusing on high - availability, fault tolerance, and auto-scaling.
• Performed custom activity using python, C#.net for unsupported task in Azure Data Factory V2

Customer support:

• Strong customer engagement skills to understand customer needs for Analytics solutions fully.
• Experience in leading small and large teams in delivering analytics solutions for customers. Have demonstrated ability to define, develop and implement data models and supporting policies, standards, and guidelines.
• Strong problem solving and troubleshooting skills.