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inforcer
inforcer
51 – 200 Zaposleni
LogistikaSvetovanjeTrženje
inforcer razvija programsko opremo za ponudnike upravljanih storitev (MSP), ki upravljajo varnost Microsofta 365 v več najemnikih svojih strank. Njihova platforma pomaga avtomatizirati uvajanje pravilnikov, poenotiti konfiguracije in podpirati skladnost v Microsoftovih okoljih, zato lahko MSP-ji zagotavljajo bolj dosledne varnostne storitve ter hkrati zmanjšajo operativni napor in tveganja, povezana z upravljanjem več najemnikov.
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Delovna mesta v podjetju

Data Engineer

Build scalable data platforms, integrations and ETL pipelines for inforcer’s cybersecurity and AI products. Enable analytics, automation, reporting and AI initiatives.

GBZdruženo kraljestvoHibridnoPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaPodatkovni inženir
AirflowApacheAzureETLKafkaOblakPythonSparkSQL

Opis

  • Design and evolve a scalable data lake and modern platform architecture.
  • Build storage solutions for structured and unstructured data.
  • Support data governance, security and compliance.
  • Improve data models and storage performance.
  • Develop ingestion frameworks for internal and external systems.
  • Integrate SaaS platforms, databases, APIs and third-party applications.
  • Implement batch and real-time ingestion.
  • Manage data synchronisation and change data capture.
  • Create and maintain ETL/ELT pipelines.
  • Turn raw data into trusted, business-ready datasets.
  • Monitor pipeline performance and address issues proactively.
  • Increase reliability, scalability and automation across the data platform.
  • Establish data validation and quality controls.
  • Set up monitoring and alerts for critical pipelines.
  • Investigate data issues and identify root causes.
  • Maintain platform availability and data integrity.
  • Collaborate with business stakeholders, analysts, engineers and leaders.
  • Deliver reliable data for reporting, analytics and AI work.
  • Help shape data architecture and platform roadmaps.
  • Document solutions and encourage sound engineering practices.

Zahteve

  • Demonstrated experience as a data engineer or in a comparable position.
  • Strong SQL skills and experience handling large datasets.
  • Commercial experience building ETL/ELT pipelines.
  • Experience developing data integrations and ingestion frameworks.
  • Strong Python development skills.
  • Experience working in cloud data environments.
  • Knowledge of data modelling and database design principles.
  • Experience with Microsoft Azure and Azure Data Lake Storage (ADLS).
  • Experience with Azure Data Factory, Databricks, Apache Spark, dbt or Airflow.
  • Experience with Azure Synapse Analytics or Snowflake.
  • Experience using Git for version control.
  • Experience integrating REST APIs and working with event-driven architectures.
  • Knowledge of Kafka or other streaming technologies.
  • Understanding of change data capture (CDC) patterns.
  • Knowledge of data governance and master data management practices.
  • Ability to communicate clearly with technical and non-technical stakeholders.

Ugodnosti

  • A steep, ongoing learning curve with strong enablement.
  • A high-trust, autonomous environment where your work has impact.
  • A culture of transparent, honest communication.
  • A global team of exceptional colleagues.
  • Monthly team social events.
  • Employee recognition programs that reward strong contributions.
  • An inclusive and diverse workplace.

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