
Data Engineering Expert
3 days ago
The role involves designing, constructing and maintaining large-scale data pipelines that integrate various systems and technologies.
Key Responsibilities:
- Develop and maintain data acquisition pipelines for structured and unstructured data using batch and real-time processing techniques in cloud environments.
- Create complex datasets based on business requirements and translate technical specifications into executable plans.
- Identify opportunities for data acquisition by collaborating with stakeholders and business clients.
- Construct 'big data' pipeline architecture and leverage DevOps practices to ensure reliability and scalability.
- Use logs and alerts to monitor pipelines, secure access to datasets and partition content in databases.
- Design and build ingestion pipelines using APIs and recommend ways to improve data quality, reliability and efficiency.
Requirements:
- Junior Data Engineer: 2-3 years of experience in data engineering (offshore).
- Senior Data Engineer: 4+ years of experience in data engineering (offshore).
- At least 1 year of hands-on experience with cloud tools (Python, SQL, Data Flow, DataStream, CDC, Cloud Functions, Cloud Run, Pub Sub, Databases, Cloud Storage).
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