Data Engineer II
What’s in it for you as an employee of QFG?
- Health & wellbeing resources and programs
- Paid vacation, personal, and sick days for work-life balance
- Competitive compensation and benefits packages
- Hybrid and flexible work arrangements
- Career growth and development opportunities
- Opportunities to contribute to community causes
- Work with diverse team members in an inclusive and collaborative environment
We're looking for our next Data Engineer. Could It Be You?
The ideal candidate will be an experienced Data Engineer professional that demonstrates in-depth knowledge and understanding of data warehousing, data integration and analytics. Prepared to work in an agile environment.
What’s it like working as a Data Engineer at Questrade?
The Data Masters Team at Questrade is expert at building data pipelines, data warehouses and reports that are used by various teams across the organization. This is a fast paced agile environment where we have a lot of fun, enjoy a high amount of collaboration and do great work. The ideal candidate will be an experienced Data Engineer professional that demonstrates in-depth knowledge and understanding of data engineering tech stack with experience in data warehousing, data integration and analytics.
Need more details? Keep reading…
- 1-2 years of experience working in the data engineering field with GCP
- Experience working with BigQuery, Dataflow, Airflow, Pub/Sub and CloudSQL Functions
- Experience in developing software for internet scale production-grade big data solutions in virtualized environments
- Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures
- Design, document and develop complex MS Power Platform (PowerBI, Power Apps, etc.) solutions
- Experience working on multiple projects simultaneously while troubleshooting technical issues and working with cross-functional stakeholders
- Strong experience with SQL
- Good Knowledge in Message Broker systems (e.g., Kafka, PubSub)
- Good Knowledge of Python language
- Develop and maintain code and documentation for ETL and other data integration projects and procedures
Additional kudos if you have…
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Knowledge of the Financial industry
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Experience building applications using SparkML and TensorFlow
Sounds like you? Click below to apply! #LI-Hybrid #LI-TY1
Other details
- Pay Type Salary
- 105/1 Teryan St, Yerevan 0009, Armenia