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Lead Data Engineer
vor 3 Wochen
Data Engineering Specialist
Diconium is a leader in the realms of Data and Artificial Intelligence, providing profound expertise across various domains including Search, Social Media, Content Management, Personalization, Analytics, Data Engineering, and Data Science. Become an integral part of our diconium data family and contribute to our innovative Data & AI initiatives.
Key Responsibilities:
- Architect and implement robust Data Pipelines to facilitate the effective processing and analysis of extensive data collections.
- Assess and integrate cutting-edge technologies and tools in Data Engineering to enhance data processing capabilities.
- Support clients in acquiring essential data for the creation of intelligent data-driven products across diverse industries.
- Collaborate with Data Scientists and Analysts to pinpoint data sources and devise appropriate solutions.
- Mentor team members, share insights, and foster team growth while embracing a leadership role.
- Develop and maintain comprehensive documentation regarding Data Engineering methodologies, best practices, and technologies.
Qualifications:
Essential:
- At least 5 years of professional experience in Data Engineering.
- Expertise in programming languages such as Python, Java, or Scala, along with familiarity with Big Data technologies.
- Understanding of Batch and Real-Time Data Processing Frameworks and Cloud-based data solutions.
- Proven experience in technical leadership and client advisory roles.
Preferred:
- Experience in constructing Machine Learning pipelines and models.
- Project management experience utilizing agile methodologies.
- Knowledge of DataOps practices and DevOps principles.
- Experience in establishing Data Quality and Data Governance frameworks.
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