Python developer állások XIV. kerületben főiskolai végzettséggel

• A villamos elosztóhálózat energiaforgalmi adatainak monitorozása, elemzése és az energiaforgalmi folyamatok szakmai támogatása
• Hálózati energiaveszteségi modellek karbantartása, fejlesztése és a veszteséget befolyásoló tényezők vizsgálata

• Online CRM kampányok tervezésének, szervezésének és megvalósításának támogatása, célcsoportok meghatározása és szegmentálása;
• Kampányokhoz kapcsolódó üzleti, pénzügyi és forgalmi elemzések, előrejelzések készítése;

• Competitive Compensation package based on your experience and skills (Cafeteria, Mobile phone, 15% shopping discount in every Hungarian Tesco store)
• Annual private healthcare package
• Performance-based annual bonus
• Minimum of 25 paid leave days per year

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

Design and implement secure CI/CD workflows: Develop and maintain secure CI/CD workflows using industry best practices and standards. Ensure the security and integrity of the entire CI/CD pipeline, including code repositories, build systems, artifact repositories, and deployment mechanisms on MOL...

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• Monitoring security alerts, events, and activities across enterprise environments using security monitoring and detection platforms
• Investigating potential cybersecurity incidents and assisting with containment, remediation, and recovery activities

• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

• Analysis and research of cloud-native tools and frameworks for Google Cloud Platform solutions
• Support for the T-Systems Public Cloud Product Management Team in building and defining solutions

• Design and development of innovative AI solutions
• Collaboration with global technologists, data scientists, and industry experts
• Development of scalable data pipelines
• Building software products and services from the ground up
• Assessment of data landscapes and ensuring data quality