Specialist Data Engineering Jobs

· Maintain current knowledge of and leverages industry best practices related to data and metadata management.

· Provide support to metadata management related to data assets (data classification, data lineage) using Informatica Axon.

· Create and monitor metrics related to compliance of data management policies.

· University degree in Computer Science, Engineering, Mathematics, or equivalent skills and experience.

· Experience migrating SAS or SQL data into other formats.

· Experience with Python and familiar with R, SQL, and SAS.

Security SME: Action security vulnerabilities and deploy parameters fixes across sites or entire network.

Lead training initiatives for the senior wireless technician, guiding the requirements from instruction to implementation.

Lead and develop strategies to define and develop cross-functional capabilities.

3 years experience in wireless with strong understanding of 5G and LTE end-to-end with in-depth expertise in Ericsson RAN vendor.

Experience with an agile organization.

Practical ans strong knowledge of Linus, Python-scripting languages.

3 years experience in wireless with a strong understanding of 5G and LTE end-to-end with in-depth expertise in Nokia RAN vendor.

Great deal of knowledge on self-organizing networks and their use in the field.

Experience with an agile organization.

Strong experience with Javascript programming language

Excellent oral and written communication skills, with strong interpersonal skills.

Responsible to support our Wireless Network Introduction Hub to operationalize new features.

Skilled with Source Code Management Tools (GitHub a plus)

Familiarity with Project Management Tools (JIRA, Confluence a plus)

Familiarity with Service Management Tools (Service Now a plus)

Experience on working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus 

Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.

Experience with automated data pipeline and workflow management tools: DevOps, ARM, Data Factory, Airflow.

Assemble large, complex data sets that meet functional / non-functional business requirements.

Share knowledge with team members & participate in various learning-sharing activities

Excellent English and French written and verbal communication skills.

A minimum of 3 years industry experience working with data, coding and scripting (Python/Java/Scala/SQL/JS/Bash), design and testing.

A minimum of 3 years experience developing and administering large data systems.

3+ years of experience leading engineers as a manager or technical lead including experience coaching and developing senior engineers.

10+ years of experience of working as software professional in various technical roles.

Proven experience increasing the reliability of existing backend services using observability, standardizing deployment, etc.

Proven experience of managing distributed systems at tens of terabytes.

Experience leading agile software development practices.

Work closely with other teams in Engineering, Customer Success, and Product to understand customer problems, research, and collaborate on technical solutions.

Knowledge of data management fundamentals and data storage principles

Experience with data pipeline and workflow management tools: Airflow

Perform other duties as assigned by management.

Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency

Other projects and responsibilities as assigned by executive leadership.

Skilled at optimizing large, complicated SQL statements.

Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience

1 - 2 years' Data Analysis experience

Understand the day-to-day issues that our business faces, which can be better understood with data

Compile and analyze data related to business' issues

Develop clear visualizations to convey complicated data in a straightforward fashion

1.) be able to customize the reports

+5 years of experience in data engineering or related fields, at least 1 year as a technical lead.

Experience with AWS technologies such as Lambda, API Gateway and Event Bridge is an asset.

Experience with data streaming technologies like Kafka is an asset.

Experience working with retail, ecommerce, marketing, and related data sets is an asset.

Leading development within our current data stack including Snowflake, DBT and AWS serverless architecture.

Mentor and provide technical guidance to data engineers, developers, and analysts.

Provide high-level calendar management and administrative support to Leaders

Superior knowledge of and experience with G Suite and Microsoft Office

Manage team calendars, Slack, Google Drive, and other team tools and trackers

Plan and manage team off-sites and activities

Bachelor's degree and a minimum of 2 years of applicable experience

Excellent verbal and written communication skills

Comfortable communicating with stakeholders (customers, product managers, C-level management.

4+ years of professional software engineering and programming experience (Java, C++, Scala).

Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization).

Professional experience working in an agile environment.

Strong written and verbal communication skills.

Experience in operating and maintaining production grade software

Excellent knowledge of Source Code Management tooling, Git is the preference

You will have strong analytical and problem-solving abilities, coupled with excellent communication, and organizational skills

We offer a hybrid work environment, combining remote work and attendance in the office.

You are bright and have a strong work ethic, with experience working in an agile environment

Key responsibilities of this role are:

Knowledge sharing with our global team