Senior Data EngineerParallels has an immediate vacancy for this 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.
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:- Parallels 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.)
