About Ascendion :
Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
Ascendion | Engineering to elevate life
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
- Build the coolest tech for world’s leading brands
- Solve complex problems and learn new skills
- Experience the power of transforming digital engineering for Fortune 500 clients
- Master your craft with leading training programs and hands-on experience
Experience a community of change makers!
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
About the Role:
Position: Data Engineer
Location: Vancouver, BC
Summary:
This group is seeking an Intermediate Data Engineer who is looking for their next challenge. As an Intermediate Data Engineer, you will be working closely with the studio business leaders, data scientists, analysts, designers, and producers to build out the data infrastructure to support their ability to answer important questions about our players.
Role/Responsibilities:
- Deliver high-quality, well-tested, secure, and maintainable code.
- Design, develop, optimize, and maintain data pipelines and back-end services for reporting, optimization, data collection, and related functions.
- Create and manage automated unit and integration test suites, to ensure accuracy and completeness of data.
- Experiment with and recommend new technologies that simplify or improve the tech stack.
- Designing efficient data structures and database schemas and working with distributed systems architecture.
- Writes efficient, readable, extensible code from scratch that spans multiple features/solutions.
- Suggest, develop and implement performance monitoring protocols across data pipelines.
- Develop and maintain documentation and guides on procedures and features.
- Performs root cause analysis in response to detected problems/anomalies to identify the reason for alerts and implement solutions that minimize points of failure.
- Collaborate with data scientists, developers, and business stakeholders to understand data requirements and develop solutions.
Top Skills:
- Minimum 3+ years of Big Data Engineering Experience
- Minimum 3+ years with Spark, Hadoop, Hive
- Minimum 3+ years with Yaml
Salary Range: $90,000 - 107,000 Annually Factors that may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [09-10 days/hours of paid time off]
Want to change the world? Let us know.
Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!