Cloud Data Pipeline Architect
4 days ago
We are seeking a highly motivated and experienced Data Engineer to design, build, and maintain robust data pipelines. This role requires expertise in cloud-based data processing technologies using GCP, AWS, or Azure.
Key Responsibilities- Design, develop, and maintain scalable data pipelines using cloud services.
- Implement data ingestion, transformation, and storage solutions.
- Ensure data quality, integrity, and security across all data systems.
- Monitor and troubleshoot data pipelines to identify and resolve issues.
- Collaborate with data scientists and other stakeholders to understand data requirements.
- Optimize data pipelines for performance, reliability, and cost-effectiveness.
- Bachelor's degree or higher in Computer Science or related field.
- 2+ years of experience in Data Engineering or related roles.
- Must have worked in production deployments, including managing scalable data pipelines that process high-volume, real-time data.
- Proficiency with cloud services such as GCP, AWS, or Azure is required.
- Hands-on experience with Distributed Stream Processing Technology ecosystem.
- Strong Programming skills in languages such as Python, Scala, or NodeJS.
- Experience with SQL, NoSQL & especially Timeseries databases.
- Experience with parallel programming & distributed data processing.
- Solid understanding of data warehousing concepts and technologies.
- Ability to design and implement data architectures.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Experience developing data pipelines & processing services.
- Knowledge of IoT data and related technologies.
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