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Data Engineer
Data EngineerWork in Ottawa • Ottawa, Ontario, Canada
Data Engineer

Data Engineer

Work in Ottawa • Ottawa, Ontario, Canada
Il y a 2 jours
Type de contrat
  • Temps plein
Description de poste

Ottawas tech sector is growing and so are the opportunities! If youre exploring your next role in tech Work in Ottawa can help you learn about leading employers and exciting careers in Canadas capital.

Led by Invest Ottawa the citys lead economic development agency this initiative works alongside tech companies recruiters and search firms and community partners to spotlight the incredible innovation happening here and help connect great people with great opportunities.

We are excited to partner with Noda to attract top talent for Data Engineer.

Noda is a data and analytics company for the commercial built environment. We reimagine how modern buildings operate because a better world needs better buildings. Better buildings are more efficient more sustainable and more resilient. They are intelligent autonomous ecosystems that anticipate and adapt seamlessly.

With commercial building operations accounting for nearly 30% of global emissions were on a mission to turn buildings into a force for positive change powering a more efficient more sustainable world. We do this with smart software careful use of modern artificial intelligence sophisticated data models and custom interfaces to building systems and a lot of in-depth knowledge about how commercial buildings actually run.

Were a young nimble company where we very much value creative thinking a love of team work and a determination to solve the problem whatever it is. Priorities can shift fast so adaptability and flexibility come with the territory. The consequence is that youll have a chance to make a real impact backed by a supportive team.

About the Role

Noda is looking for a Data Engineer to join our software development team in Ottawa Canada reporting to our Chief Software Architect. You will join a close-knit team of developers using data technologies such as Snowflake MongoDB and this role youll focus on designing building and optimizing our data infrastructure to support scalable high-performance analytics and business intelligence. You will work with modern data technologies ensuring efficient data pipelines ETL processes and database performance tuning. Collaborating closely with data analysts software engineers and business stakeholders you will help shape the future of our data platform enabling data-driven decision-making across the company.

The position will be based out of our Ottawa office with flexibility to work in a hybrid arrangement.

What youll be doing

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.

What you will need

Bachelors or Masters 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.

Why we think youll love it here

Huge responsibility and fascinating challenges youll be joining us early on in our journey with plenty of autonomy and room to develop your role.

Joining a fast-growing team of brilliant people building solutions at the forefront of smart building technology!

We offer a great work environment a clear development path and many tangible benefits here just a handful :

Office in Ottawa to use when you like

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.

Competitive salary and equity participation.

Highly flexible and autonomous working.

Paid personal development days.

Annual paid volunteer day to help out a charity of your choice

At Noda we value diverse perspectives and believe great ideas come from people of all backgrounds. If youre excited about this role but dont meet every requirement we encourage you to applywed love to hear from you!

Work in Ottawa utilizes a secure closed AI environment for the initial screening of resumes ensuring your data remains safe while helping us efficiently identify top candidates. We encourage all applicants to apply even if you do not meet every requirement if you possess relevant skills enthusiasm and eagerness to grow we want to hear from you! To enhance your visibility consider including relevant keywords in your resume.

If you require any accommodation during the hiring process please reach out to

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1

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Data Engineer • Ottawa, Ontario, Canada

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