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    Technical Support Engineer - Hyderabad, India - LTIMindtree

    LTIMindtree
    LTIMindtree Hyderabad, India

    1 day ago

    LTIMindtree background
    Technology / Internet
    Description

    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, 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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