Über
We're seeking a senior data engineer with deep expertise in Python to design and implement scalable data solutions for complex, high-volume environments. This role involves building robust data pipelines, optimizing workflows, and collaborating with analytics teams to deliver actionable insights. Key Responsibilities: Develop and maintain advanced Python-based ETL pipelines for large-scale data processing. Integrate data from multiple sources into secure, high-performance data platforms. Collaborate with data scientists and business analysts to enable predictive analytics and reporting. Implement best practices for data governance, security, and compliance. Optimize data workflows for speed, reliability, and scalability. Requirements Qualifications: Bachelor's or master's in computer science, data engineering, or related field. 5+ years of experience in data engineering with a strong focus on Python. Proficiency in SQL, cloud platforms (Azure, AWS, or GCP), and distributed data frameworks (Spark, PySpark). Experience with data modeling, ETL processes, and API integrations. Strong problem-solving skills and ability to work in fast-paced environments. Preferred Skills: Familiarity with energy or industrial data sets (e.g., operational, sensor, or trading data). Experience with data visualization tools like Power BI or Tableau. Knowledge of containerization (Docker) and orchestration (Kubernetes) is a plus.
Sprachkenntnisse
- English
Hinweis für Nutzer
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