Description

The Data Engineer participates in the design and build of modern data products that comprise of raw data stores (data lakes) and cleansed data repositories, populated by batch or streaming data pipelines. The Data Engineer works with a team to create a robust, sustainable and flexible design and leads the technical delivery using Agile delivery frameworks like Scrum or Kanban. 

Requirements

At least 4 + years of data engineering

Needs to have Azure tech stack

2 azure data factorySynApps azure (very new) - nice to have

1 yea of Azure Data-lake at least 

Must haves- SQL 

Creating pipelines from scratch - Python - most projects are in - data pulling 

Java - data

SSIS - is fine

Use Kubernetes for containerization 

Needs to have public trust clearances prior to starting.

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