
Big Data
5 days ago
The successful candidate will be responsible for designing, developing and maintaining scalable data pipelines to support increasing data volumes and complexities.
">Responsibilities:
- Develop and maintain large-scale data pipelines using cloud-based technologies such as Google Cloud Platform
- Collaborate with analytics and business teams to improve data models that feed business intelligence tools
- Increase data accessibility and foster data-driven decision making across the organization
- Implement processes and systems to monitor data quality ensuring production data is always accurate and available for key stakeholders
- Design data integrations and data quality framework
Requirements:
- BS or MS degree in Computer Science or a related technical field
- 4+ years of Python or Java development experience
- 4+ years of SQL experience
- No-SQL experience a plus
- 4+ years of experience with schema design and dimensional data modeling
- 4+ years of experience with Big Data Technologies like Spark, Hive
- 2+ years of experience on data engineering on Google Cloud platform services like Big Query
This role requires strong technical skills, excellent collaboration and communication skills, and a passion for working in a dynamic environment.
Ideal Candidate Profile:
- Experience with cloud-based platforms such as Google Cloud Platform
- Strong knowledge of data engineering concepts and practices
- Excellent problem-solving and analytical skills
- Ability to work effectively in a team environment
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