[Hiring] Senior Data Engineer @Parallels Inc
Senior Data Engineer @Parallels Inc
Data and Analytics
Salary usd 150,000 - 1..
Remote Location
Employment Type full-time
Posted 2d ago

[Hiring] Senior Data Engineer @Parallels Inc

2d ago - Parallels Inc is hiring a remote Senior Data Engineer. πŸ’Έ Salary: usd 150,000 - 165,000 per year πŸ“Location: Worldwide

Role Description

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.

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

Qualifications

  • 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 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

Benefits

  • Fully remote workspace
  • Flexible hours
  • Supportive and energetic team environment

Company Description

Parallels is a top VDI/EUC product helping businesses since 1999. Whether it’s desktop or cloud, on-prem or hybrid, Parallels has a solution to help your company optimize the speed and security of your work environment at an affordable price.

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.

Parallels 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.

Before You Apply
️
worldwide Be aware of the location restriction for this remote position: Worldwide
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Senior Data Engineer @Parallels Inc
Data and Analytics
Salary usd 150,000 - 1..
Remote Location
Employment Type full-time
Posted 2d ago
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worldwide Be aware of the location restriction for this remote position: Worldwide
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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