As a Senior Data Engineer you will play a key role in designing building and optimizing Xplores enterprise data lakehouse platform. Youll lead delivery of ingestion pipelines implement data governance and observability and act as a subject matter expert across data engineering best practices. You will mentor intermediate and junior engineers contribute to platform standards and partner with analytics and AI teams to deliver high-quality trusted datasets.
Key responsibilities include:
Architect and implement data pipelines (batch & streaming) from on-prem and cloud systems (e.g. SQL Server Oracle Salesforce APIs telemetry).
Model and optimize data flows across medallion lakehouse layers (bronze/silver/gold).
Implement and enforce governance lineage cataloging and data quality frameworks.
Optimize ELT processes and distributed compute performance (e.g. Spark Databricks).
Contribute to CI/CD infrastructure-as-code observability and cost governance practices.
Mentor engineers conduct code reviews and drive knowledge-sharing.
Partner with data science BI and AI teams to provision clean and well-documented data products.
Translate business requirements into scalable data engineering solutions.
The ideal candidate will possess:
57 years of experience in data engineering.
Proficiency in Python and SQL and performance tuning at scale.
Extensive experience with modern platforms (e.g. Databricks Azure cloud storage).
Strong expertise with lakehouse/data warehouse distributed compute and streaming frameworks with ingestion from APIs Salesforce and on-prem databases.
Experience with governance and metadata management tools.
Familiarity with Canadian privacy and compliance frameworks (PIPEDA/CPPA Law 25).
Knowledge of CI/CD infrastructure-as-code and data observability solutions.
Strong communication skills and demonstrated mentorship experience.
Bachelors or Masters degree in Computer Science Engineering or related field.
As a condition of employment and in order to comply with industry related data security standards this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.
Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.
Company Overview:
Xplore Inc. isCanadas fibre 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living for today and future generations.
Required Experience:
Senior IC
As a Senior Data Engineer you will play a key role in designing building and optimizing Xplores enterprise data lakehouse platform. Youll lead delivery of ingestion pipelines implement data governance and observability and act as a subject matter expert across data engineering best practices. You wi...
As a Senior Data Engineer you will play a key role in designing building and optimizing Xplores enterprise data lakehouse platform. Youll lead delivery of ingestion pipelines implement data governance and observability and act as a subject matter expert across data engineering best practices. You will mentor intermediate and junior engineers contribute to platform standards and partner with analytics and AI teams to deliver high-quality trusted datasets.
Key responsibilities include:
Architect and implement data pipelines (batch & streaming) from on-prem and cloud systems (e.g. SQL Server Oracle Salesforce APIs telemetry).
Model and optimize data flows across medallion lakehouse layers (bronze/silver/gold).
Implement and enforce governance lineage cataloging and data quality frameworks.
Optimize ELT processes and distributed compute performance (e.g. Spark Databricks).
Contribute to CI/CD infrastructure-as-code observability and cost governance practices.
Mentor engineers conduct code reviews and drive knowledge-sharing.
Partner with data science BI and AI teams to provision clean and well-documented data products.
Translate business requirements into scalable data engineering solutions.
The ideal candidate will possess:
57 years of experience in data engineering.
Proficiency in Python and SQL and performance tuning at scale.
Extensive experience with modern platforms (e.g. Databricks Azure cloud storage).
Strong expertise with lakehouse/data warehouse distributed compute and streaming frameworks with ingestion from APIs Salesforce and on-prem databases.
Experience with governance and metadata management tools.
Familiarity with Canadian privacy and compliance frameworks (PIPEDA/CPPA Law 25).
Knowledge of CI/CD infrastructure-as-code and data observability solutions.
Strong communication skills and demonstrated mentorship experience.
Bachelors or Masters degree in Computer Science Engineering or related field.
As a condition of employment and in order to comply with industry related data security standards this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process.
Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.
Company Overview:
Xplore Inc. isCanadas fibre 5G and satellite broadband company for rural living. Xplore is committed to the relentless pursuit of an improved broadband experience for all Canadians. Xplore is building a world-class fibre optic and 5G wireless network to enable innovative broadband services for better every day rural living for today and future generations.
Required Experience:
Senior IC
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