All offersKrakówDataSenior Data Engineer
Senior Data Engineer
Data
AURA

Senior Data Engineer

AURA
Kraków
Type of work
Full-time
Experience
Senior
Employment Type
B2B
Operating mode
Remote
AURA

AURA

At Aura, we’re making comprehensive digital security simple to understand and easy to use, so everyone can stay safe online. Smart, Simple Online Safety. Powered by AI. As technology grows more complex and advanced, so do scams, cybercriminals, and fraudsters. It’s time to rethink how you keep your family’s information safe and secure online. Aura provides all-in-one, proactive protection to help stop threats before they strike.

Company profile

Tech stack

    Spark
    advanced
    SQL
    advanced
    Data modeling
    advanced
    Scala
    advanced
    Python
    regular
    Databricks
    nice to have
    Airflow
    nice to have

Job description

Online interview
Friendly offer

Senior Data Engineer - Poland, Remote


Aura is on a mission to create a safer internet. In a world where our lives are increasingly online, Aura's category-defining suite of intelligent digital safety products help millions of customers protect themselves against digital threats, and that number is growing rapidly. Aura is in an exciting phase of hyper-growth, and our team of close to 700 people worldwide is guided by a leadership slate that's successfully grown startups into multi-billion dollar organizations.


Come join us for the ride!


About the Role:

We are looking for a Senior Data Engineer to help us continue improving the architecture, enhancing, and maintaining the Data Platform.


Day to Day:

  • Design, development, and operations of a Big Data platform in AWS environment that is secure, scalable, robust, and cost effective.
  • Ensure scalability of pipelines in both data volume and variety of data sources
  • Provide technical leadership, establish standards and patterns for re-use
  • Drive data quality across the organization; develop best practices for Data Engineering.
  • Partner with architecture, Infosec, and development teams across the enterprise to establish a strong relationship and trust for prioritizing and delivering projects on time


What you bring to the table:

  • 5+ years of experience as a data engineer working with a modern tech stack
  • Expertise with Spark, SQL, and Python
  • Strong knowledge of various AWS services
  • Experience with databases and data modeling
  • Track record of designing, and deploying high performance systems with reliable monitoring and logging practices


It would be great if you also had:

  • Proficiency in Airflow
  • Experience with Scala
  • Proficiency with Databricks
  • Knowledge of container services (Docker/Kubernetes)