Data Engineer
Toronto, ON, Canada
Applications have closed
Company Description
Points is a trusted partner to the world’s leading loyalty programs, leveraging its unique Loyalty Commerce Platform and analytic expertise to build, power, and grow a network of ways members can get and use their favourite loyalty currency.
Our platform combines insights, technology, and resources to make the movement of loyalty currency simpler and more intelligent for nearly 60 reward programs worldwide. Founded in 2000, Points is headquartered in Toronto with teams operating around the globe. Points was acquired by Plusgrade in 2022, making the combined companies the global leaders in ancillary revenue for the travel industry.
Job Description
Points is looking for an intermediate or senior Data Engineer to join our Data Engineering team for a permanent position in our downtown Toronto office.
We’re an industry-leading web-based organization that is continuously reshaping how consumers interact with their loyalty programs. We work with the world’s largest airline, hotel, financial, and retail rewards programs, to tackle complex challenges and come up with innovative e-commerce solutions; with the Data Engineering team playing a critical role in this. If you’d like to be a part of it, we’d love to hear from you.
Reporting to the Team Lead, Data Engineering, you will:
- Work in a scrum-based team that is passionate about enabling a data culture throughout the organization.
- Design and develop scalable and robust pipelines for data consumption by downstream applications in support of advanced analytics, AI/ML products, and system interoperability.
- Improve upon existing ETL processes, through the use of automated testing and monitoring, to continually enhance data integrity and accuracy.
- Support production systems to deliver a high degree of data availability, consistency, and accuracy.
- Actively participate in solution design and modeling to ensure data products are developed according to best practices, standards, and architectural principles.
- Automate the boring manual stuff!
Qualifications
- Excellent hands-on experience in working with SQL and NoSQL data sets.
- Experience using GUI ETL tools (we use Talend), as well as orchestration tools such as Airflow.
- Experience with data streaming architectures, such as Kafka.
- Working knowledge of DevOps principles such as CI/CD.
- Self-disciplined, eager to help, and most importantly a thirst for continual learning.
- Data consumer focused, constantly driven to exceed stakeholder data and information needs.
- Effective communicator and collaborator, within the immediate team as well as across other organizational units.
Nice to haves:
- Strong knowledge of general software engineering principles and practices.
- Experience with columnar-oriented databases, such as Vertica or Snowflake.
- Experience integrating with services, such as Dataiku and NetSuite.
- Experience with containers and related infrastructure, such as Docker and Kubernetes.
- Experience with developing data products using data visualization / dashboarding tools like Tableau.
- Experience with RESTful APIs.
Technologies we use and teach:
- Vertica, PostgreSQL, CouchDB
- Snowflake
- Talend Cloud
- Kafka
- Airflow
- Python
- GitLab
- Tableau, JReports
- Docker
Additional Information
What we offer:
- Flexible hours
- Extra days off
- Extended health care from day one
- Parental leave top-op
- Fitness Credit
- RRSP Matching Plan
- Learning & Development
- Free coffee, snacks & drinks
- The best Technology
- YOLO leave
- Green Commute or WFH credits
- Company-sponsored activities such as bowling, movies, sports, paintball, and more!
Our Process:
Points is an equal opportunity employer and is committed to providing an accessible recruitment process. We welcome applications from all qualified individuals and are committed to equal employment opportunity regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, and any other category protected by law. Upon request we will provide accommodation for applicants with disabilities.
We believe in diversity and inclusivity and that is why our interview process is designed for a positive candidate experience and to ensure every candidate is evaluated equally. All applications will be reviewed from our Talent Team and the successful candidate(s) will go through the following recruitment process:
Recruiter Phone Interview
Hiring Manager Interview
Take-home Assessment or remote coding exercise (If applicable)
Team Interview
All candidates will be provided with feedback regardless if they pass or didn’t pass any of our interview stages. All your information will be kept confidential.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs Architecture CI/CD Data visualization DevOps Docker E-commerce Engineering ETL GitLab Kafka Kubernetes Machine Learning NoSQL Pipelines PostgreSQL Python Scrum Snowflake SQL Streaming Tableau Talend Testing YOLO
Perks/benefits: Career development Flex hours Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open AI Engineer jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Sr. Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Big Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Analyst Intern jobs
- Open ETL Developer jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open PhD-related jobs
- Open NLP-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs