DevJobs

Senior Data Engineer

Overview
Skills
  • Python Python ꞏ 4y
  • SQL SQL
  • Pandas Pandas
  • Airbyte
  • AWS Redshift
  • DBT
  • Prefect
  • BigQuery

Role Overview:

As a Data Engineer at Onyxia, you will be responsible for spearheading the development of distributed, real-time, high-volume data pipelines. You will collaborate closely with our team members, leveraging cutting-edge open-source technologies such as AWS Redshift, Prefect, Airbyte, DBT, and more. This role offers the opportunity to work across the entire stack, utilizing Python programming language. You will have the chance to own significant parts of our service, driving impact and growth within the company.

In addition, this position presents the opportunity for career advancement, with the potential for the successful candidate to evolve into a leadership role within the data team, guiding and mentoring the engineers as the team continues to expand and innovate.


About Onyxia:

Onyxia was founded in 2022 with the mission to set a new standard in cybersecurity performance management. The Onyxia platform empowers CISOs with a holistic view of their cybersecurity programs and delivers actionable insights for high-performing cyber defense strategies that align with business objectives. Recognized as a ‘Company to Watch’ by Tech:NYC, Onyxia helps security leaders focus on what matters, maximize their security solutions and make smarter and more efficient decisions.


Responsibilities:

  • Design and build distributed, real-time, high-volume data pipelines
  • Utilize open-source technologies such as AWS Redshift, Prefect, Airbyte, DBT, and more.
  • Solve complex problems in a collaborative and efficient manner.
  • Take ownership of meaningful parts of our service and drive impact within the company.


Requirements:

  • BS/MS in a scientific field or equivalent experience.
  • 4+ years of experience writing in Python.
  • Experience with SQL.
  • Experience building and operating large data sets, construct ETL pipelines and building the workflows.
  • ETL tools building experience.
  • Strong knowledge in data manipulation and analysis tools, such as Pandas.
  • Experience with warehouses, such as: AWS Redshift, BigQuery.
  • Passion for wrangling large volumes of data and exploring new datasets.
  • Commitment to code simplicity and performance optimization.
  • Desire to work in a fast-paced, high-growth startup environment.
  • Design, develop, test, deploy, maintain and improve the software with a strong.
  • focus on customer-facing features.


If you are a passionate Data Engineer looking to join an innovative startup where you can make a real impact, we would love to hear from you. Join us in shaping the future of Onyxia!

Onyxia Cyber