
Chief Data Infrastructure Specialist
4 days ago
We are seeking a highly motivated and experienced Data Engineer to lead the design, development, and maintenance of robust data pipelines. The ideal candidate will have deep expertise in cloud-based data processing technologies using GCP, AWS, or Azure.
Key Responsibilities:
- Design and Develop Scalable Data Pipelines: Utilize cloud services (GCP, AWS, or Azure) to create efficient and scalable data pipelines that process high-volume, real-time data.
- Implement Data Ingestion, Transformation, and Storage Solutions: Design and implement data ingestion, transformation, and storage solutions to ensure seamless data flow and optimal data quality.
- Maintain Data Quality and Integrity: Ensure data quality, integrity, and security across all data systems by implementing robust data validation and quality control measures.
- Monitor and Troubleshoot Data Pipelines: Collaborate with cross-functional teams to identify and resolve issues affecting data pipeline performance and availability.
Required Skills and Qualifications:
- B.Tech. / M. Tech. degree or higher educational qualification.
- 2+ years of experience in Data Engineering or related roles.
- Proficiency with cloud services such as GCP, AWS, or Azure is required.
- Hands-on experience with Distributed Stream Processing Technology ecosystem, including Apache Kafka, Flink or Beam etc.
- Strong Programming skills in languages such as Python, Scala, or NodeJS.
Preferred Qualifications:
- Experience developing data pipelines & processing services, with a deeper understanding of Quality Controls.
- Knowledge of IoT data and related technologies.
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