Technical Support Engineer

4 weeks ago

Hyderabad, India LTIMindtree Full time

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.

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