Lead Data Solutions Engineer
vor 3 Wochen
Senior Data Engineering Role
Diconium specializes in Data and Artificial Intelligence, providing a wide range of services including Search, Social, Content, Personalization, Analytics, Data Engineering, and Data Science. Become a vital part of our data-driven initiatives.
Key Responsibilities:
- Architect and implement robust Data Pipelines to facilitate the 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 solutions across various industries.
- Work collaboratively with Data Scientists and Analysts to pinpoint data sources and devise effective solutions.
- Mentor team members, contribute to collective growth, and assume a leadership position.
- Develop and uphold documentation regarding Data Engineering methodologies, Best Practices, and technologies.
Qualifications:
Essential Skills:
- At least 5 years of experience in Data Engineering.
- Strong programming skills in 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 Skills:
- Experience in building 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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