Sigma Software Group
Sigma Software Group
Sigma Software Group je večnacionalno tehnološko svetovalno podjetje, ustanovljeno leta 2002. Njegove ekipe zagotavljajo razvoj programske opreme, grafično oblikovanje, testiranje in tehnično podporo strankam v panogah, kot so avtomobilska industrija, zdravstvo, telekomunikacije, letalstvo, bančništvo, igre, nepremičnine in oglaševanje. Podjetje zaposluje strokovnjake za IT za delo na kompleksnih inženirskih projektih ter podpira poklicni razvoj z mentorstvom in nenehnim učenjem. Delo na daljavo je del njegovega delovnega modela, projekti pa služijo organizacijam, kot so AstraZeneca, Scania in SAS.

Middle Data Engineer (Azure, Spark) — Poland Remote

Build Azure data platforms and scalable pipelines that support analytics and operations. Develop Spark workflows, data models, and dependable cloud data solutions.

Opis

  • Build scalable, dependable data platforms and pipelines for analytics and operations
  • Develop distributed data processing workflows with Apache Spark, PySpark, and Databricks
  • Extend the cloud data platform using Azure Data Factory, Synapse, Event Hub, and Azure Data Lake Storage
  • Create data models for analytics, reporting, and downstream use
  • Integrate and process data from multiple sources while maintaining quality and consistency
  • Monitor and improve pipeline performance, reliability, and scale
  • Work with analysts, data scientists, and engineers to turn requirements into solutions
  • Strengthen data engineering practices, testing, and operational reliability
  • Assess and adopt tools and technologies for the data engineering ecosystem

Zahteve

  • At least four years of practical experience in data engineering or building data processing platforms
  • Strong SQL skills
  • Solid Python experience developing pipelines
  • Experience with distributed processing frameworks such as Apache Spark or PySpark; Databricks is preferred
  • Practical experience designing and implementing pipelines in cloud environments; Azure is preferred
  • Experience with production-scale analytical systems and data modeling
  • Knowledge of ETL/ELT design, dimensional modeling, and data warehousing principles
  • Experience with modern data lake architectures and formats such as Parquet and JSON
  • Familiarity with workflow orchestration tools such as Airflow
  • Experience developing and optimizing databases
  • Ability to design scalable solutions with minimal supervision
  • Strong collaboration and communication skills
  • Professional proficiency in English

Ugodnosti

  • Opportunities for professional growth
  • Supportive work environment
  • Competitive benefits
  • Remote work option

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