
Chief Big Data Architect
4 days ago
We are seeking a highly skilled and experienced Big Data Engineer to design, build, and maintain robust data pipelines. The ideal candidate will have deep expertise in cloud-based data processing technologies using GCP, AWS, or Azure.
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines using cloud services (GCP, AWS, or Azure).
- 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.
Required Skills and Qualifications:
- B.Tech. / M. Tech. degree or higher educational qualification.
- 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, including Apache Kafka, Flink or Beam etc.
- 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.
Benefits:
- Growth opportunities.
- Collaborative work environment.
- Recognition and rewards for outstanding performance.
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