About the Role & Team
As part of the theScore Data Engineering team, you will be working with a team of smart, friendly, and dedicated Data Engineers, Analysts, and Data Scientists determined to develop high-quality and sustainable data-driven solutions to improve profitability, growth and the user experience.
You’ll work hand in hand with the ML, Analytics, and Reporting teams to develop and maintain data pipelines & internally developed tools to improve workflows and automate processes wherever possible.
The ideal candidate has a passion for data, a strong background in data engineering, database management & computer science.
An interest in professional sports, betting and / or eSports is a plus.
About the Work
As a key member of our Data Engineering team you will :
- Collaborate with Data Science, Reporting, Analytics and other engineering teams to build data pipelines, infrastructure and tooling to support business initiatives
- Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture
- Collaborate with the team to meet performance, scalability, and reliability goals
- Write out tests and thorough documentation for processes and tooling
- Adapt to working with new technologies and frameworks, sometimes headlining the investigation into their usefulness to the team
- Maintain and expand existing systems, tooling and infrastructure
- Maintain streaming pipelines that ingest near-real time data
- Take ownership of projects, plan and collaborate with other members of the Analytics and Reporting teams or others within the company
- Other duties as required
About You
- A solid foundation in computer science, with strong competencies in data structures, distributed systems, algorithms and software design
- 7+ years of experience in data or software engineering
- Strong knowledge of Python or Java
- Strong knowledge of relational databases and SQL
- Strong knowledge of streaming technologies, such as Kafka, Spark, Flink and Beam
- Experience with Docker and Kubernetes
- Experience building out a scalable infrastructure to fit the needs of a growing company
- Experience with BigQuery, Redshift or other SQL-based data warehouses
- Experience with at least one major cloud platform (GCP, AWS, Azure)
- Experience with testing frameworks such as Pytest, PyUnit, Junit, Mockito
- Experience with RESTful API development
- Strong organization and collaboration skills
- Excellent written and oral communications skills
- NICE TO HAVE : Experience working with Data Scientists or deploying machine learning models
What We Offer
- Competitive compensation package
- Fun, relaxed work environment
- Education and conference reimbursements.
- Parental leave top up
- Opportunities for career progression and mentoring others
LI-Hybrid
LI-Remote
Candidates residing in Ontario requiring special accommodation can email
Senior Data Engineer - Google Cloud Services
Hands on and at-least 3 years work experience working with Google Cloud Services like BigQuery, Dataflow, DataProc, Cloud Functions, Cloud Data Fusion, Cloud Composer etc. Developing data ingestion framework for different sources. Should have strong IT experience in E2E reporting and Visualization a...
Senior Data Engineer
We are looking for an experienced data pipeline builder and data modeler who enjoys optimizing data system to join our Data Science & Management team. Prepare and manipulate data using a variety of data integration and data pipeline tools including Talend, SQL, Snowflake, Kafka, and Azure Data F...
Senior Principle Engineer Data and AI
Domain expertise in the implementation of one or more of the following: AI end to end data processing, scenarios and system optimizations, core database internals (Ex: query optimization, runtime, scheduling, storage engine, transaction processing, etc. Architect and develop framework/engine for th...
Senior Data Engineer
The Senior Data Engineer is responsible for designing, developing, and maintaining data storage, processing and integration solutions focused on the customer portfolio of applications. Build, maintain and optimizes data pipelines and data processing workflows to ensure the integrity of data across s...
Senior Platform Engineer – Kubernetes Clusters, Cloud, Data Analytics, CEPH
Kubernetes Clusters, Cloud, Data Analytics, CEPH. Kubernetes, Docker, Ansible, HELM, Bitbucket,Jfrog, Airflow, CI/CD, Data and Analytics tech, Grafana. ...
Senior Data Engineer - DataBricks
Senior Data Engineer - DataBricks-. Hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and other Azure data services. Develop and manage frameworks for data ingestion and workflow orchestration using Data Factory or Dataflows. Fabric Analytics Engineer Associate ...
Senior Data Scientist, UTR Optimization
You can contribute to each layer of a data solution – you work closely with process design engineers, business intelligence engineers and technical product managers to obtain relevant datasets and create simulation models, and review key results with business leaders and stakeholders. Looking for yo...
Senior Data Engineer - Tech Lead
Senior Data Engineer - Tech Lead-076121. As a Team Lead, you will build distributed data processing solution and highly loaded database solutions for various cases including reporting, product analytics, marketing optimization and financial reporting. Manage a team of authority data engineers workin...
Senior Consultant/ Manager - Data Engineer
Hands on experience with data processing and analytics using Azure Data Factory, Azure Synapse, Azure Data Lake or Azure Databricks is a plus. Contribute to the design and development of enterprise-level data solutions, including data warehouses, data lakes, and real-time analytics platforms, using ...
Data Engineer (Senior Consultant) - Future Opportunities
Perform data management tasks, including data architecture design and data modeling, master data/metadata/data security/privacy/data quality management, data operations, data integration and interoperability. Participate in architecture, development, deployment and maintenance of secure, extensive, ...