Cybersecurity Data Engineering Lead Position

6 dni temu

Kraków, Polska HSBC Service Delivery Pełny etat
Cybersecurity Data Engineering Lead Role Overview

At HSBC Service Delivery, we're seeking a highly skilled Cybersecurity Data Engineering Lead to join our Platform & Data Engineering Team. This role will involve working closely with Principal engineers to contribute to and coordinate data engineering, data acquisition, cloud infrastructure, and platform engineering activities.

The successful candidate will have experience in designing and implementing data pipelines that collect data from disparate sources, transport it, and deliver it to our data platform. They will also be responsible for driving improvements in the reliability and frequency of data ingestion, including increasing real-time coverage.

We offer a competitive salary, annual performance-based bonus, and additional bonuses for recognition awards. Our benefits package includes multisport cards, private medical care, life insurance, one-time reimbursement of home office set-up, corporate parties & events, CSR initiatives, nursery discounts, financial support with trainings and education, social fund, and flexible working hours.

Key Responsibilities:

  • Ingestion and provisioning of raw datasets, enriched tables, and/or curated, re-usable data assets to enable Cybersecurity use cases.
  • Driving improvements in the reliability and frequency of data ingestion including increasing real-time coverage.
  • Identifying and onboarding data sources using existing schemas and, where required, conducting exploratory data analysis to investigate and determine new schemas.
  • Extract Translate and Load (ETL) workflows, using both advanced data manipulation tools and programmatically manipulating data throughout our data flows, ensuring data is available at each stage in the data flow, and in the form needed for each system, service, and customer along said data flow.
  • Designing and implementing data pipelines that will collect data from disparate sources across the enterprise, and from external sources, transport said data, and deliver it to our data platform.

Requirements:

  • Demonstrable experience of Linux administration and scripting (preferably Red Hat Systems).
  • Experience with Python, Spark, SQL, Databricks, Azure Function App, Azure DevOps, and Terraform.
  • Understanding of hardware and software principles and storage technologies (SSD, HDD, NVMe), CPU architectures, and Memory & Operating system principles (especially network stack fundamentals).
  • Understanding of network protocols and network design.
  • Designing, building, and maintaining data pipelines and ETL workflows across disparate datasets.
  • Experience in applying data engineering methods to the cyber security domain.
  • Bachelor's degree in any Science, Technology, Engineering field accompanied with data, technology, and/or programming experience also considered.
  • Proficiency in programming languages such as Python, Java, C#, or similar preferred.
  • Experience with server, operating system, and infrastructure technologies such as Nginx/Apache, CosmosDB, Linux, Bash, PowerShell, Prometheus, Grafana, Elasticsearch.
  • Experience operating in highly regulated industry, e.g., Financial Services advantageous.

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