ETL Data Engineer

Job description

Job Description

ETL Data Engineer

Position Description
Join this exciting new project as an ETL Data Engineer to work with our dynamic CGI team!

With your expertise you will work with a high-performing team to implement a Cloud Modernization Project. You will support and interact with the client daily in an Agile way of working.
You will have the opportunity to show/grow with technology in a customer-facing role. You should be able to work independently under limited supervision and apply your knowledge of Azure-based ETL. You should have sufficient knowledge and maturity to effectively deal with technical issues and help to support the broader team.

Your future duties and responsibilities
The data engineer will be responsible for development, deployment, maintenance, diagnostics and support of ETL jobs on the Azure platform (Databricks and Data Flow).

Required qualifications to be successful in this role
Experience in development of ETL in code (apache spark using PySpark or Scala, for example) and/or low-code/no-code technologies such as Data Flow

Experience in using Azure Databricks Platform preferred

Experience in using Azure Data Factory to call Azure Databricks notebook activities

Experience in using Git based repositories

Good fundamental knowledge about distributed computing, RDBMS and Dimensional modeling concepts

Exposure to Azure DevOps

Exposure to Azure Storage (Blob/Data Lake Store), Azure Catalog, Databricks Delta, Kafka

Bachelor's Degree in Computer Science, Accounting, Finance, Statistics, Mathematics, Business Administration or other related fields.

Skill Set Years of Experience Proficiency Level

Information Technology 6 years High

ETL 4 years High

SQL 4 years High

Agile Framework 2 years

#MarchMadness2020

Build your career with us.

It is an extraordinary time to be in business. As digital transformation continues to accelerate, CGI is at the center of this change—supporting our clients’ digital journeys and offering our professionals exciting career opportunities.

At CGI, our success comes from the talent and commitment of our professionals. As one team, we share the challenges and rewards that come from growing our company, which reinforces our culture of ownership. All of our professionals benefit from the value we collectively create.

Be part of building one of the largest independent technology and business services firms in the world.

Learn more about CGI at www.cgi.com .

No unsolicited agency referrals please.

CGI is an equal opportunity employer.

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status, political affiliation, genetic information, or any other legally protected status or characteristics.

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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held.

CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI’s legal duty to furnish information.

Skills

·  ETL
·  SQL
·  Azure Data Factory

Reference

736887