Job description
XIT Solutions represents a group of Tax Technology experts that are globally connected. We Engage, Evolve & Automate the technology that makes IT eXcITing. So, let’s take this journey together. No matter where you are on your digital career roadmap, we can help you grow and have fun doing it.
As a member of our Software Engineering Group you are expected to hit the ground running on day one. You will dive head-first into creating innovative solutions that advance businesses and careers. You’ll join an inspiring and curious team of technologists dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating quality software applications. You’ll be tasked with keeping the team and other key stakeholders up to speed on the progress of what’s being developed. You are expected to come in with an understanding of the importance of end-to-end software development-such as Agile frameworks-is key.
Data Engineer
Location: Mississauga, Canada (Remote)
Long Term Contract
Note: Student are most welcome (will sponsor work permit)
Skillsets:
Data lake / ADLS Gen 2
Databricks
Experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient and distributed data pipelines
High Proficiency in at least two of Scala, Python, Spark applied to large scale data sets
Expertise with big data technologies (Spark, Data Lake, Delta Lake, Hive)
Knowledge of batch and streaming data processing techniques
Understanding of the Data Lifecycle Management process to collect, access, use, store, transfer, delete data.
Expert level knowledge of using SQL to write complex, highly-optimized queries across large volumes of data
Hands-on object-oriented programming experience using Scala, Python, R, or Java
At Effectual, Data engineers are responsible for designing, building, and maintaining datasets that can be leveraged in data projects
Obsession for service observability, instrumentation, monitoring and alertin
Knowledge or experience in architectural best practices in building data lakes
Job Types: Full-time, Part-time
Part-time hours: 40 per week
Pay: $77,953.76-$146,096.50 per year
Flexible Language Requirement:
- English not required
Schedule:
- Monday to Friday
Supplemental pay types:
- Overtime pay
Ability to commute/relocate:
- Mississauga, ON: reliably commute or plan to relocate before starting work (required)
Experience:
- Data Engineer: 5 years (preferred)
- Data lake / ADLS Gen 2 Databricks: 4 years (preferred)
- Scala, Python, Spark applied to large scale data sets: 4 years (preferred)
- Spark, Data Lake, Delta Lake, Hive: 4 years (preferred)
Expected start date: REPLACEMENT_STRING04-10
About XIT Solutions
CEO: Zia Quraishi
Revenue: $5 to $25 million (USD)
Size: 51 to 200 Employees
Type: Company - Private
Website: www.xitsolutionsinc.com
Year Founded: 2009