Senior Data Engineer

COREL

2h•Remote

About The Position

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.

Requirements

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

Responsibilities

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