Azure ADF Data Engineer

Candidate should be able to :

Create and review architecture and solution design artifacts

Enforce adherence to architectural standards / principles, global product-specific guidelines, usability design standards, etc.

Design and implementation of modern data solutions( like Data Lake, Data warehouse, Real-time data ingestion, and analytics)

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.

analyze and understand complex data

Participate and help in creating Coding standards and Best practices for a robust solution.

Identify, communicate and mitigate Risks, Assumptions, Issues, and Decisions throughout the full lifecycle

Architect and design solutions to meet functional and non-functional requirements

Candidate should have :

Excellent interpersonal / communication skills (both oral / written) with the ability to communicate at various levels with clarity & precision.

Knowledge of Azure data lake is required

In-depth skills with Azure Data Factory, Azure Synapse, ADLS with the ability to configure and administrate all aspects of SQL Server.

Demonstrated experience delivering multiple data solutions as an architect.

Excellent technical architecture skills, enabling the creation of future-proof, complex global solutions

Experience in Architecture, Azure Storage, Azure SQL DB / DW, Data Factory, Azure Stream Analytics, Azure Analysis Service.

known at least one programming language

Expert level knowledge of SQL DB & Data warehouse

Expert-level knowledge of Azure Data Factory.