Nord Security
Tech / AI / Software
AnalyticsEngineer
Neural analysis suggests this role is
optimal for Junior - Mid candidates.
“Analytics Engineer at Nord Security. Skills: Python, PySpark, SQL, BigQuery, dbt, GitLab, Apache Airflow. Acquire data from various data sources (APIs, relational and non-relational databases, queues …) by developing scripts, workflows, and ETL pipelines. Support ETL processes and data transformations to address stakeholder requests”
What You'll Achieve.
Helping millions take back control of their online security, privacy, and data; Automate repetitive tasks; Improve efficiency and consistency; Create ad-hoc datasets; Improve data reliability, efficiency, and quality
Industry & Context.
Curious problem-solver; Problem-solving abilities
What They're Looking For.
Must Have
Advanced proficiency in Python, Experience with PySpark, Basic knowledge of interacting with APIs (API requests), Comfortable working with GitLab (creating branches, committing code, creating merge requests, code reviews), Understanding of Git workflows and best practices, Hands on experience with unit testing and code reviewing, Experience with Apache Airflow (creating and maintaining data pipelines) or familiarity with other orchestration tools, Proficiency in SQL, Experience with BigQuery, Experience with dbt (data build tool), Ability to critically assess incoming requests, clarify requirements, and define a clear execution roadmap, Excellent communication skills, Problem-solving abilities, Collaborative mindset
Nice to Have
Familiarity with MinIO or similar environments for large-scale data workloads, Passion for data analysis with focus on data quality, Experience creating dashboards in tools like Looker or Grafana is a plus, Knowledge of OpenSearch is a plus
What You'll Do.
Acquire data from various data sources (APIs
relational and non-relational databases
queues …) by developing scripts
Support ETL processes and data transformations to address stakeholder requests
Maintain existing data models’ integrity and structure on the data warehouse
Use GitLab for version control
creating merge requests
and conducting peer code reviews
Monitor and analyze pipeline performance and data accuracy
Participate in code reviews and writing unit tests to ensure high-quality solutions
Ensure all pipelines and processes comply with internal guidelines and requirements
Closely work with data analytics team to help them automate repetitive tasks
improve efficiency and consistency
also create ad-hoc datasets
Discover opportunities for data acquisition
Recommend and validate different ways to improve data reliability
How You'll Work.
Team & Collaboration
Closely work with data analytics team to help them automate repetitive tasks, improve efficiency and consistency, also create ad-hoc datasets; Collaborate closely with cross-functional teams to ensure accurate understanding of data and business processes
Communication Scope
Excellent communication skills
Process & Methodology
Define a clear execution roadmap
Full Job Description
## Description The world’s most advanced VPN, and a whole lot more. If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands. Your impact? Helping millions take back control of their online security, privacy, and data. ## Main Responsibilities Acquire data from various data sources (APIs, relational and non-relational databases, queues …) by developing scripts, workflows, and ETL pipelines Support ETL processes and data transformations to address stakeholder requests Maintain existing data models’ integrity and structure on the data warehouse Use GitLab for version control, managing branches, creating merge requests, and conducting peer code reviews Monitor and analyze pipeline performance and data accuracy Participate in code reviews and writing unit tests to ensure high-quality solutions Ensure all pipelines and processes comply with internal guidelines and requirements Closely work with data analytics team to help them automate repetitive tasks, improve efficiency and consistency, also create ad-hoc datasets Discover opportunities for data acquisition, diagnostics, mapping, and correction Recommend and validate different ways to improve data reliability, efficiency, and quality Collaborate closely with cross-functional teams to ensure accurate understanding of data and business processes ## Core Requirements Advanced proficiency in Python, experience with PySpark Basic knowledge of interacting with APIs (API requests) Familiarity with MinIO or similar environments for large-scale data workloads Comfortable working with GitLab (creating branches, committing code, creating merge requests, code reviews) Understanding of Git workflows and best practices Hands on experience with unit testing and code reviewing Experience with Apache Airflow (creating and maintaining data pipelines) or familiari
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