Position: Cloud Data Engineer
Company: Alcor
Experience required: 3y
English level: upper

**Questrade Financial Group (QFG)** of Companies is committed to helping Canadians become much more financially successful and secure. We are everything a traditional financial institution is not. Our vision is to revolutionize financial services for the benefit of Canadians by providing the most innovative and cost-efficient financial services online.

That’s why we empower our employees to continuously grow their professional careers with QFG. We believe in having a diverse, inclusive place to work and our flexible working arrangements bring that to life so you can unleash your creativity. Our values are a part of our DNA, and we care deeply about our people helping us fulfill our mission and become an important part of our community. We are always looking for like-minded professionals to join our team. Come grow with us.

**What’s it like working as a Cloud Data Engineer at Questrade?**
The Cloud Data Engineer will work with a primary focus on delivering our data platform footprint, as an expansion of our cloud presence, enabling key initiatives such as our Digital Banking. This role will be working with several teams in the organization in a collaborative manner, helping deliver data-related components that enable productivity across QTG by leveraging automation to deliver self-service components as much as possible. This key individual will be part of a team that drives the implementation of data components such as pipelines, applications, sanitation, supporting our data scientists and working with the rest of the product teams while collaborating with the architecture team, influencing the design and delivery of our data footprint and striving for greater functionality in our data systems.

**Need more details? Keep reading...**
Our Data Engineer needs to be able to gather and understand data requirements, present it to software engineers, and work in the team to achieve high quality data ingestion goals. This Engineer will need a passion for complex problems, and enjoy the challenge of operating complex and mission critical systems under extreme loads. Do you think you are up to the challenge? Would you like to learn more and stretch your skills and career?

In this role, you will be a technical expert with significant scope and impact. You will work closely with a group of Software Engineers, Product Managers, Data Scientists, and Business Intelligence Engineers to create the data infrastructure and pipelines necessary to drive Questrade’s initiatives.

Successful candidates should come from a strong data engineering background. You need to have experience with structured and unstructured data, and be able to analyze/transform the data using various tools. Often, the pace of innovation and change implies a need to move to new data sources, and our Data Engineers get to participate in deep diving into business data in order to understand/measure sources of disparity. Your analytical skills and knowledge of schema metadata will be essential.

**So are YOU our next Cloud Data Engineer? You are if…**
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Optimally extract, transform, and load data from a wide variety of data sources using SQL and Google Cloud data technologies.
Collaborate with the team to decide on which tools and strategies to use within specific data integration scenarios.
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
Develop and maintain code and documentation for ETL and other data integration projects and procedures.
Monitor and anticipate trends in data engineering, and propose changes in alignment with organizational goals and needs.
Share knowledge with other teams on various data engineering or project-related topics.
1-3 years of experience working in the data engineering field.
Knowledge of SQL language.
Knowledge of Python language.
Some experience in optimization of high-volume ETL processes.
Knowledge of any of the popular Clouds (GCP, AWS, and Azure).
Knowledge of Message Broker systems (e.g., Kafka, PubSub).
Ideally Data modeling skills.
Knowledge of popular data standards and formats (e.g, JSON, XML, Proto, Parquet, Avro, ORC, etc)
Experience in the financial industry is an asset.
Some Google GCP data platforms (Dataflow, Dataprep, Cloud Composer, BigIGQuery, and CloudSQL) knowledge and experience is an asset, or knowledge of the equivalent open-source toolset behind those products.

**Questrade offers**
- the probation period is three months;
- paid vacation – up to 18 business days per year;
- a paid day off – up to 3 business days per year for personal things;
- flexible hybrid work model work from home or office format;
- company and team-specific celebration events;
- IT kit;
- medical and dental insurance coverage after a successful probation period;
- learning & development (English lessons).

**Does it sound interesting to you?
Let's discuss more details! :)**