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

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.

What’s it like working as a Cloud Data Engineer at Questrade?

Our Data Engineer will 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 being 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 business data in order to understand/measure sources of disparity. Your analytical skills and knowledge of schema metadata will be essential.

You will

• 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.

So are YOU our next Cloud Data Engineer? You are if…

• Minimum 3+ years of experience working in the data engineering field.
• Proficiency in SQL language.
• Strong knowledge of Python language.
• Experience in optimization of high volume ETL processes.
• Experience with any of the popular Clouds (GCP, AWS, Azure).
• Good knowledge in Message Broker systems (e.g., Kafka, PubSub).
• Data modelling skills.
• Good knowledge of popular data standards and formats (e.g, JSON, XML, Proto, Parquet, Avro, ORC, etc)
• Fluent English as this position will work with international team in a regular basis.

Brownie points if…

• Experience in the financial industry.
• Google GCP data platform (Dataflow, Dataprep, Cloud Composer, BigIGQuery, CloudSQL) knowledge/experience, or knowledge of the equivalent open source toolset behind those products.