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Stefanini LATAM
Stefanini LATAM
LogistikaSvetovanjeTrženje
Stefanini LATAM je ponudnik tehnoloških rešitev, osredotočen na digitalno preobrazbo in posodobitev poslovanja. Z več kot 30 leti izkušenj organizacijam pomaga izboljšati operativne modele in uporabniško izkušnjo z avtomatizacijo, umetno inteligenco, kibernetsko varnostjo in podatkovno analitiko. Njegovo delo združuje svetovanje z uvajanjem tehnologij ter strankam pomaga prepoznati priložnosti za optimizacijo procesov, odzivanje na spreminjajoče se tržne razmere in doseganje trajnostne rasti.
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Delovna mesta v podjetju

Data Engineer

Builds ETL pipelines, data models, and data warehouses for Stefanini. Optimizes SQL and automates data integration and quality processes.

BRBrazilijaHibridnoPolni delovni časSrednja ravenSeniorZahtevani Jezik: španščinaPodatkovni inženir
ETLMS SQL ServerPythonSQLSSIS

Opis

  • Design, develop, and maintain ETL processes for extracting, transforming, and loading data.
  • Build and optimize data pipelines that integrate information from multiple sources.
  • Design and maintain data models and data warehouse architectures.
  • Ensure data quality, consistency, and integrity.
  • Automate data monitoring, validation, and loading processes.
  • Optimize SQL query performance and data integration processes.
  • Document processes, data structures, and technical procedures.
  • Work with analysts, data scientists, and business users to understand requirements.
  • Identify improvement opportunities and implement solutions that increase operational efficiency.
  • Promote best practices in development, version control, and quality assurance.
  • Contribute to projects that transform and modernize data platforms.

Zahteve

  • At least 3 years of experience in data engineering roles.
  • Advanced proficiency in SQL and T-SQL.
  • Advanced knowledge of Microsoft SQL Server Integration Services (SSIS).
  • Advanced knowledge of data warehouse design and architecture.
  • Experience optimizing queries and ETL processes.
  • Knowledge of dimensional and relational data modeling.
  • Experience with technical documentation and change control.
  • Intermediate Python skills for data processing and automation.
  • Collaboration and teamwork skills.
  • Critical thinking and problem-solving skills.
  • Time management and organizational skills.
  • Adaptability and flexibility.
  • Results orientation.
  • Leadership skills.

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