Senior Data Engineering Consultant

1 week ago

Halifax, Nova Scotia, Canada CGI Full time

Position Description:

*** CANADIAN OPPORTUNITY FOR INTERNATIONAL CANDIDATES ONLY. If you are already in Canada, we invite you to apply on our local opportunities for quicker processing times***

Looking to immigrate to Canada? CGI's global delivery Centre in Atlantic Canada is growing rapidly, with exciting work opportunities to serve dynamic global enterprise clients from our offices in Nova Scotia, Newfoundland, New Brunswick and Prince Edward Island.

We are now welcoming international candidates to join us in delivering a vast array of business and technology solutions for leading organizations. The work permit process is handled by CGI, in partnership with a specialized law firm. Successful candidates and their family will benefit from a personalized attention throughout their immigration process and their onboarding period at CGI.

Who is CGI? We are Canada's largest Information Technology Outsourcing and Management Consulting Company with a true global presence in a fast-paced and energetic atmosphere. CGI offers more than a job. We offer limitless opportunities where your personal and professional growth is accelerated by your desire and sense of commitment.

At CGI, all employees are called members because they feel a powerful sense of ownership and accountability. Members at CGI are building their own company – in + offices worldwide. CGI has the global resources, expertise, stability and dedicated professionals needed to achieve results for clients – and for members; that's why an astounding 90 percent of them are CGI shareholders.

We are seeking a highly skilled and experienced Data Engineering Consultant to join our team either in Halifax, NS, St-John's, NL or Moncton (NB). As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, databases, and analytics solutions. Your expertise in data engineering tools and platforms will drive the efficient processing, storage, and retrieval of data and you will collaborate with data scientists, analysts, and other stakeholders to ensure data availability, quality, and reliability.

Your future duties and responsibilities:


•Design, construct, install, test and maintain highly scalable data management systems.

•Ensure systems meet business requirements and industry practices.

•Build high-performance algorithms, prototypes, predictive models and proof of concepts.

•Research opportunities for data acquisition and new uses for existing data.

•Develop data set processes for data modeling, mining and production.

•Integrate new data management technologies and software engineering tools into existing structures.

•Create custom software components and analytics applications.

•Install and update disaster recovery procedures.

•Recommend ways to improve data reliability, efficiency and quality.

•Collaborate with data architects, modelers and IT team members on project goals.

•Design and develop ETL processes, and ensure they align with business requirements and industry practices.

•Implement and maintain Big Data technologies and systems.

•Design, implement, and maintain data warehouse technologies.

•Ensure data security protocols are in place and are followed.

•Experience with data warehouse technologies like Snowflake and Redshift.

Required qualifications to be successful in this role:

Required qualifications to be successful in this role

•10 years of experience in data engineering or similar role.

•Experience with big data tools: Hadoop, Spark, Kafka, etc.

•Experience with relational SQL and NoSQL databases.

•Experience with data pipeline and workflow management tools.

•Experience with cloud services (AWS, Google Cloud, Azure).

•Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

•Experience with ETL processes and Big Data technologies.

•Experience with data warehouse technologies.

•Knowledge of data security practices and protocols.

•Experience with data warehouse technologies like Snowflake and Redshift.

•Strong organizational and project management skills.

•Ability to work on multiple projects simultaneously.

•Strong problem-solving skills and attention to detail.
Required Level of Education:

•Bachelor's degree in Computer Science, Engineering, or a related field.

If you are a seasoned Data Engineer looking for an exciting opportunity to contribute to cutting-edge projects and thrive in a collaborative environment, we encourage you to apply.
Join us and be a key player in shaping the future of our technology solutions.

#LI-NB5

Skills:

Big Data Data Engineering Database ETL SQL

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