LP
Azure Databricks Developer-HR Platforms
LinkedIn Recruiter Post
Azure Databricks Developer needed for HR tech projects at a top financial client. Design ETL solutions, support data integrations, and modernize HR data platforms.
About the role
- Sr. Data Engineer at Luxury Presence building AI growth platform for real estate. Shaping platform architecture and driving AI-powered product delivery for innovative solutions.
Responsibilities
- Build and scale high-throughput streaming pipelines. Design, implement, and operate pipelines ingesting 400M+ monthly MLS updates across 350+ integrations using Airflow, Spark Streaming, Kafka, and Iceberg—ensuring reliability, performance, and data correctness.
- Model and deliver high-quality, production-grade real estate datasets. Develop and maintain datasets that power core product experiences, with a focus on data modeling, transformation logic, and balancing freshness, accuracy, and cost.
- Strengthen data quality and observability. Implement and improve data quality checks, monitoring, and alerting to detect issues early and reduce downstream impact.
- Leverage AI to improve data operations. Contribute to AI-driven tooling that helps triage, debug, and resolve data quality issues, increasing team efficiency and reducing manual intervention.
Requirements
- 6+ years of professional data engineering or software engineering experience
- Strong experience with distributed data processing and streaming systems (Spark / PySpark, Kafka)
- Proficiency in Python (Pydantic preferred) and familiarity with Node/TypeScript is a plus
- Experience building and maintaining data pipelines on AWS using tools like Airflow, Spark Streaming, and Iceberg
- Solid understanding of data modeling and working with large-scale datasets
- Familiarity with event-driven systems and ingestion patterns (Kafka, SQS)
- Experience implementing data quality checks, monitoring, and debugging data issues
- Interest in applying AI/ML or automation to improve data workflows is a plus
- Proven track record leading high-impact initiatives from concept through production in a SaaS environment
- Expert-level grasp of software design principles and experience with multi-tenant platform architectures
Benefits
- Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Software Engineer, Data responsible for building data pipelines and maintaining infrastructure for analytics and ML. Collaborate with teams to optimize data systems at Narvar.
Data Architect leading conversations and decisions on data modeling at a global consulting firm specializing in Data & Analytics. Transforming complex processes into clear, reusable information models.
Senior Data Engineer at Supabase managing data pipelines from source to analysis. Collaborating with growth, finance, and product teams to drive business insights.
LP
Data Architect – Snowflake
LinkedIn Recruiter Post
Data Architect - Snowflake needed for full - time hybrid role in Markham, ON. Expertise in Snowflake on AWS, data migration, and ETL required.
LP
Datastage ETL
LinkedIn Recruiter Post
Hiring Datastage ETL contractor for hybrid role in Toronto. Requires 5+ years experience with IBM DataStage, SQL, Unix scripting.
LP
Data Architect (Snowflake & DBT)
LinkedIn Recruiter Post
Data Architect needed to architect and implement Snowflake on AWS solutions, with 8+ years experience in data architecture and engineering.
Associate Data Architect collaborating with stakeholders to design scalable data architecture for AXIS Capital. Maximizing profit through data - driven decision making and implementing effective data governance strategies.
Data Engineer II at Finning supporting production data platforms and integrations using Snowflake, Databricks, Azure services. Collaborating with teams to ensure operational stability and reliability.
Staff Data Engineer at Ledgebrook responsible for architecting data platforms and ensuring data governance. Collaborates across teams to drive data - driven decisions and enhance engineering practices.