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
- Senior Data Engineer at Noda responsible for designing and optimizing data infrastructure. Collaborating with teams to support analytics and business intelligence for sustainable buildings.
Responsibilities
- Collaborate with technical teams to understand data requirements and deliver data integration solutions.
- Migrate customer data from legacy systems, ensuring data accuracy, consistency, and minimal disruption.
- Perform data modeling, including dimensional modeling, to create structured datasets for analytics and reporting purposes.
- Plan and implement scalable data solutions on cloud platforms such as AWS, Snowflake, and Mongo Atlas.
- Ensure data governance practices are followed to maintain data quality, integrity, and compliance with industry standards.
- Implement data security best practices and ensure compliance with data privacy regulations (e.g., GDPR, CCPA).
- Work in an Agile environment, collaborating with cross-functional teams and using project management tools to deliver projects effectively.
Requirements
- 5–8+ years of experience in Data Engineering, with ownership of production-grade data platforms.
- Proven ability to act as the sole or primary Data Engineer, making architectural decisions, prioritizing work, and setting and meeting delivery timelines without heavy oversight.
- Bachelor’s or Master’s in Computer Science, Data Engineering, or equivalent experience
- Proven experience managing and optimizing massive datasets (billions of rows / multi-terabyte tables), ensuring high performance and cost-efficiency.
- Deep expertise in Snowflake and MongoDB Atlas (including Federation and CDC) as primary data stores.
- Hands-on experience building real-time ETL/ELT pipelines using Kafka, Kafka Connectors, Estuary.
- Familiarity with Vector Databases and the data infrastructure required to support LLM/RAG applications.
- Proficiency in Python and SQL for data modeling (DBT), query tuning, and general automation.
- Experience with AWS and containerized environments (Docker/Kubernetes).
- A collaborative communicator who is adaptable in a fast-paced DevOps environment.
Benefits
- Healthcare cover, including vision, dental.
- Critical Illness Cover & Life Insurance Policy
- Accidental Death, Dismemberment and Specific Loss
- Long Term Disability Cover
- Pension - Registered Retirement Savings Plan
- Enhanced paternity, maternity and adoption leave.
- Paid personal development days.
- Annual paid volunteer day to help out a charity of your choice.
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.