Azure Data Lead

Added: May 14, 2021
  • Country: Australia
  • Region: New South Wales

Job: Azure Data Lead

Duration: 12+ Months

Primary skills:

Azure Data factory, Azure Analysis Services, Azure Stream Analytics

Some inputs from previous interview:

1) Exp. with on Azure services (ADF, ADLS, Synapse)

2) Good exp. in programming language experience (Java/Python/Scala )

3 Experience in working with Semi-structured data like XML/Json

4) Able to answers the scenario based question like designing pipeline for
semi-structured data or streaming data

5) Good understanding on building basic data pipeline using ADF

Azure ADF Data Lead (9 to 12 years exp required)

- Architect and design solutions to meet functional and non-functional
- Create and review architecture and solution design artefacts
- Enforce adherence to architectural standards/principles, global
product-specific guidelines, usability design standards, etc.
- Expert level knowledge on Azure Data Factory
- Expert level knowledge of SQL DB & Data warehouse
- Knowledge of Azure data lake is required
- Architecture, Azure Storage, Azure SQL DB/DW, Data Factory, Azure
Stream Analytics, Azure Analysis Service.
- In-depth skills with Azure Data Factory, Azure Synapse, ADLS with the
ability to configure and administrate all aspects of SQL Server.
- Design and implementation of modern data solutions( like, Data Lake,
Data warehouse, Real time data ingestion and analytics)
- Demonstrated experience delivering multiple data solutions as an
- Participate and help in creating Coding standards and Best practices
for robust solution.
- Identify, communicate and mitigate Risks, Assumptions, Issues and
Decisions throughout full lifecycle
- Leadership skills be able to inspire others and persuade
- Excellent technical architecture skills, enabling the creation of
future-proof, complex global solutions
- Should know at least one programming language
- Should be able to analyse and understand complex data
- Excellent interpersonal/communication skills (both oral/written) with
the ability to communicate at various levels with clarity & precision.
- Evaluate and recommend tools, technologies and processes to be used by
the engineering team, to meet both functional non-functional requirements
in the product. Running and managing these spikes within the sprint.

Reference : Azure Data Lead jobs

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