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Data Engineer - Tech Lead
Company | Enable |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Software Development |
Expires | 2023-10-02 |
Posted at | 8 months ago |
Do you want to design new ways of processing Enterprise scale data at speed, introduce leading edge technologies, invent complex big-data algorithms, shape processes into a growing engineering organisation, all while helping to scale a Series C rocket ship to the next level?
- Working as part of an enthusiastic, fast paced and motivated agile data engineering team that takes pride in delivering a high-quality data platform.
- Own and drive forward improvements to data engineering at Enable.
- Lead the engineering our platform ingestion [JA1] , orchestration, data warehouse/data lake and API strategies for our data management ecosystem.
- Coaching and mentoring other engineers.
- Design, develop, test, and deploy data pipelines and integrations using IPaaS technology.
- Interface with other technology teams to design and implement robust products, services and capabilities for the data platform making use of infrastructure as code and automation.
- Collaborate with our DevOps team to provide high availability data solutions that scale geographically.
- Modern big data architecture design.
- Problem-solving, and the ability and confidence to hack their way out of tight corners.
- Willingness and an enthusiastic attitude to work within existing processes / methodologies.
- Ability to prioritise and meet deadlines.
- Attention to detail and solid written and verbal English communication skills.
- Peer code reviews.
- Big Data processing. We process enterprise scale volumes of data having experience of ways of working with these for example Snowflake, Databricks, big query.
- Data Stores. Technical excellence in SQL, NoSQL, Blob, Delta Lake, and other enterprise scale data stores.
- Architecture design. Experience in leading the design and implementation of lambda architectures for scalable and reliable data processing.
- Scrum methodologies. experience of working within scrum frameworks and tools such as JIRA and Confluence.
- Software tooling. GIT/GitHub, CI/CD, deployment tools like Octopus, infrastructure as code and other DevOps practices.
- Coding. Experience using Python with data (Pandas, PySpark) would be an advantage. Other languages such as C# would be beneficial but not essential
- Cloud. We are Azure hosted and experience of this is a strong preference. However other Cloud platforms like AWS/GCP are acceptable.
- Join any of our 5 DEI workstreams that are helping to shape how we can continue to support and celebrate our people, truly embodying our key value of "We Succeed Together"
- Pension contributions and life insurance
- Regular social events
- Quarterly personal-wellness budget
- Employee equity scheme and colleague bonus plan
- Flexible and hybrid working
- Significant investment in skills development and training
- Fantastic holiday entitlement
- Free lunches, snacks, and drinks
- Enhanced Family Friendly Policy (Maternity pay, Adoption and Paternity leave)
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