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Technical Support Engineer 3 Days Left

3 months ago


Hyderabad, Telangana, 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 12 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
  • Handson 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 onpremises to different layers into Azure Built Dataflow transformations.
  • Worked on Copy Data activity, Get Metadata Activity, look up, Filter, Store Procedure, Foreach, 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 autoscaling.
  • 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.