Data Engineer
15 godzin temu
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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