Position: Data Engineer (Spark)
Company: GlobalLogic
Category: Data Engineer
Experience required: 3y
English level: upper

Job Description

3+ years of development experience;
Proven track 
Excellent written and verbal communication skills;
Experience building and optimizing 'big data' data pipelines, architectures, and data sets;
Solid experience with Apache Spark;
Familiar with Python 3;
Nice to have: Azure Data Factory or SSRS;
Upper-intermediate English;
Bachelor’s degree in Computer Science or another analytical discipline would be a plus;
Possessing a positive attitude and the ability to work in a collaborative team environment.


Job Responsibilities

Take major part in requirements definition, architecture, and design;
Design and implement core data flow components in accordance with project standards;
Regular communications with the client and team;
Ensure project delivery in a timely matter;
Following daily project activities.


Department/Project Description

The Client is the largest cloud computing and virtualization technology company.

Our team is working on the development of a sophisticated Analytics as a Service (AaaS) solution.
As a part of the team, you will contribute to the creation of means for data ingestion, validation/verification, multiple storage zones, processing, and analytics on top of that. The final solution can be used by teams of various maturity or size for smaller teams looking for the basics, or large teams interested in advanced APIs and tooling.