Data Engineer developing data solutions for Noda’s smart building technology initiatives. Focused on scalable, high-performance analytics and business intelligence in a hybrid work environment.
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
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.
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