Senior Data Engineer at COREL

, , Canada -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

180000.0

Posted On

25 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Sql, Devops, Etl Orchestration, Workflow Management Tools, Airflow, Flink, Spark, Kafka, Snowflake, Aws, Gcp, Kubernetes

Industry

Software Development

Description

Senior Data Engineer Corel has an immediate vacancy for this role. Push the boundaries of tech. In your sweatpants. We’re looking for an experienced Senior Data Engineer to help us change how the world works. Here, you’ll be part of our Data Engineering & Analytics team, supporting cross-functional groups around the world. The right candidate will develop, review, and maintain data infrastructure and various data flows. You will also develop means to ensure continuous data validation and telemetry for all data processes. The top creative and technical minds could work anywhere. So why are so many of them choosing Corel? Here are three reasons: 1. This is the moment. It’s an exciting time at Corel, with new leadership, a refreshed brand, and a whole new approach to changing the way the world works. We’re at the forefront of a movement, and we want you to ride this wave with us. 2. We want you to be you. Too often, companies tell you about their culture and then expect you to fit it. Our culture is built from the people who work here. We want you to feel safe to be who you are, take risks, and show us what you’ve got. 3. It’s your world. We know you have a life. We want to be part of it, but not all of it. At Corel, we’re serious about empowering people to work when, how, and where they want. Couch? Sweatpants? Cool with us. We believe that happy employees mean happy customers. That’s why we hire amazing people and get out of their way. Sound good so far? Awesome. Let’s talk more about the Senior Data Engineer role and see if we’re destined to be together. AS A SENIOR DATA ENGINEER, YOU WILL: * Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse * Build and implement ETL frameworks to improve code quality and reliability * Build and enforce common design patterns to increase code maintainability * Ensure accuracy and consistency of data processing, results, and reporting * Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning * Communicate ideas clearly, both verbally and through concise documentation, to various business sponsors, business analysts and technical resources * Guide and mentor other Data Engineers as a technical owner of parts of the data platform WHAT YOU BRING TO THE TEAM: * Expert knowledge of Python * Expert knowledge of SQL * Experience with DevOps mode of work * 7+ years of professional experience * 5+ years of experience working in data engineering, business intelligence, or a similar role * 5+ years of experience in ETL orchestration and workflow management tools like Airflow, flink, etc. using AWS/GCP * 3+ years of experience with the distributed data processing tools like Spark, Presto, etc. and streaming technologies such as Kafka/Flink * 3+ years of experience with SnowFlake (preferred) or another big data database platform * 3+ years of experience with cloud service providers: Amazon AWS (preferred), or one of the other major clouds * Expertise with containerization orchestration engines (Kubernetes) * MS in Computer Science, Software Engineering, or relevant field preferred, BS in one of same fields acceptable OUR TEAM: * Corel features award-winning solutions that have helped millions of users for 40 years (can you believe it?!). * We offer a fully remote workspace, and we mean it. There is no pressure to work in an office whatsoever. * Hours are flexible! You’ve worked hard to build your life, and we don’t want you to give it up for work. * Our team is growing fast, and there’s a ton of energy and a lot of really smart, motivated, fun people ready to welcome you in. What are you waiting for? Apply now! We can’t wait to meet you. (FYI, we’re lucky to have a lot of interest and we so appreciate your application, though please note that we’ll only contact you if you’ve been selected for an interview.) About Corel Corel is a beloved and trusted industry titan fueled by make-everything-easier flexibility. With a 40-year legacy of innovation, we understand where you've been, and we're uniquely equipped to get you where you want to be. Our comprehensive collection of creative, collaborative, and productivity solutions propel your teams on their journey. From meeting your deadlines to realizing your dreams, Corel empowers all you do. Our products enable millions of connected knowledge workers around the world to do great work faster. Our success is driven by an unwavering commitment to deliver a broad portfolio of innovative applications – including CorelDRAW®, MindManager®, Parallels®, and WinZip® – to inspire users and help them achieve their goals. It is our policy and practice to offer equal employment opportunities to all qualified applicants and employees without regard to race, color, age, religion, national origin, sex, political affiliation, sexual orientation, marital status, disability, veteran status, genetics, or any other protected characteristic. Corel is committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation that are required. Appropriate accommodation will be provided upon request as required by Federal and Provincial regulations and Company Policy. Any information received relating to accommodation will be treated as confidential. As part of our evaluation process, we utilize an AI tool to assess candidates. #LI-Remote

Responsibilities

The Senior Data Engineer will design, develop, and implement large-scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse, while also building and enforcing common design patterns and ETL frameworks to improve code quality and reliability. Responsibilities also include designing cloud-native data pipelines, automation routines, and database schemas for machine learning applications, and guiding/mentoring other Data Engineers.