Technical Lead
Quantexa
- Toronto, ON
- Permanent
- Full-time
- Leading a team and mentoring junior engineers.
- Guiding team members through technical issues and challenges.
- Ensuring that engineers are following best practices and standards.
- Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.
- Write defensive, fault tolerant and efficient code for data processing.
- Automate data processing to enable on-going alerts on high-risk activity.
- Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
- Work very closely with data scientists to ensure efficient and effective delivery of solutions.
- Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
- Work with our expert software development team to produce reusable applications.
- Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
- Collaborate on scalability issues involving access to massive amounts of data and information.
- Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.
- Good time management and prioritisations skills to balance engineering, team management and customer facing responsibilities.
- Good communication skills and experience working with different customers, partner organisations and cultures.
- Proven big data experience, either from an implementation or a data science prospective.
- Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
- Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
- Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
- Experience with MVC frameworks such as AngularJS
- Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
- Strong coding experience in the likes of Scala, Java, or Python.
- Enthusiasm to learn and develop emerging technologies and techniques.
- Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
- Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
- Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).
- Competitive base and Company bonus đź’°
- 100% RRSP match up to 5%
- Comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being
- Tax-advantageous benefits, such as commuter benefits, healthcare, and dependent care
- Competitive annual leave, parental leave, PTO, and observed holidays
- Well-being benefits, such as the Calm App and 1/2 days off off
- Continuous Training and Development, including access to Udemy Business
- Work from Anywhere Scheme: Spend up to 2 months working outside of your country of employment over a rolling 12-month period
- Employee Referral Program
- Team Social Budget & Company-wide Socials