Data Engineer

4 tygodni temu


Kraków, małopolskie, Polska INEXTO POLAND Pełny etat

Are you passionate about cutting-edge technology and innovative solutions? INEXTO, a global leader in Authentication, Secure Serialization, Track & Trace, and Production Volume Verification, is looking for a Data Engineer to join our team. Our technology secures over 100 billion products annually, and we're just getting started


At INEXTO, you'll be at the forefront of an exciting, fast-moving world, where your expertise will contribute to the development of groundbreaking solutions. As a Data Engineer, you'll collaborate with a team of worldwide talented professionals, bringing your creativity and technical prowess to the table to build secure, user-friendly applications that make a real difference.

If you're ready to take your career to the next level and be part of a company that's transforming global security standards, we want to hear from you Join us at INEXTO and help us continue to lead the way in secure technology solutions.



Responsibilities:

  • Design and manage data pipelines and workflows using Azure Data Lake, Delta Lake, Synapse, and Spark
  • Build and optimize modern data platforms with tools like Azure Fabric and Cosmos DB
  • Prepare, process, and transform large datasets to enable advanced analytics and machine learning outcomes
  • Create dashboards and data visualizations with Power BI, supporting AI-driven decision-making
  • Implement data governance frameworks to ensure security, compliance, and high data quality


Qualifications:

  • Proficiency in Azure data technologies: Azure Data Lake, Delta Lake, Fabric, Synapse Analytics, and Azure AI/ML
  • Hands-on experience with big data frameworks like Apache Spark and databases such as Cosmos DB
  • Strong skills in ETL processes, data transformation, and pipeline orchestration
  • Proficiency in programming and scripting languages such as Python, C# (including ML libraries), SQL, and Spark.
  • Hands-on experience with Power BI for building dashboards and visualizations


Preferred qualifications:

  • Familiarity with advanced analytics and statistical modeling
  • Experience with tools like Pandas, NumPy, and Scikit-learn
  • Knowledge of Docker and Kubernetes


Your Profile:

  • At least 5 years of experience in data engineering with exposure to AI/ML workflows
  • Proven ability to design and deliver scalable, cloud-based data solutions
  • A proactive and resourceful mindset with strong problem-solving and collaboration skills
  • Fluency in English




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