
Visionary Data Architect
2 days ago
As a data engineer, you will be responsible for designing, building, and managing data pipelines that integrate multiple data sources to support company goals.
Key Responsibilities- Develop and maintain large-scale data processing systems and machine learning pipelines, ensuring data availability and quality.
- Implement systems for data quality and consistency, collaborating with data science and IT teams.
- Ensure compliance with security guidelines and SDLC processes.
- Maintain and optimize databases, design schemas, and improve data flow across the organization.
- Bachelor's degree in computer science, engineering, or a related field.
- Minimum of 2 years of experience in data engineering, specifically in large-scale AI projects and production applications.
- Strong proficiency in Python, SQL, Spark, cloud architect, data & solution architect, API, Databricks, and Azure.
- Deep understanding of designing and building scalable and robust data infrastructure.
- Experience with at least one public cloud provider.
- Strong understanding of system architecture and data pipeline construction.
- Familiarity with machine learning models and data processing requirements.
- Team player with analytical and problem-solving skills.
- Good communication skills in English.
- Steep learning curve, development opportunities, and a flexible, positive work environment.
- Modern office with design furniture, rooftop terrace with city view.
- Supportive, open-minded teammates. Enjoy after-work events, barbecues, excursions, and team gatherings.
At our organization, we are dedicated to sensing and initiating innovation. We stay focused and agile, unlike others which lose their drive due to guaranteed success.
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Senior Data Architect
2 weeks ago
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Cloud Data Architect
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Data Architect
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Power BI Backend Data Architect
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Data Warehouse Architect
2 days ago
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