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Senior Data Engineer
3 weeks ago
Experience: 8+ Years
Required Skills:
- Databricks (Expert)
- Pyspark (Advanced)
- MongoDB (Advanced)
- Scala (Understands)
Notice Period: Immediate Joiner or who can join in 15 Days Max
Budget: 20-30 LPA
As a Data Engineer (Cloud Native), your role involves designing, developing, and maintaining cloud-based data infrastructure and systems. You will mainly focus on utilizing Azure storage, Databricks, MongoDB, and other cloud native technologies to create scalable and efficient data pipelines. Collaboration with various teams such as analysts and software engineers is key to ensuring optimal data flow for analytics and reporting.
Experience Range: 8+ years of experience in the relevant skills and technologies.
Responsibilities:
- Design, develop, and maintain cloud native data infrastructure and systems using Azure storage, Databricks, MongoDB, and related technologies.
- Develop and implement data ingestion and transformation processes for efficient data flow.
- Develop event-based pipelines for real-time data processing.
- Collaborate with teams to understand data requirements and develop suitable data models.
- Optimize data pipelines for performance, scalability, and reliability.
- Implement and maintain data security and privacy measures.
- Monitor and troubleshoot data pipelines to ensure uninterrupted data flow.
- Work with analysts to optimize data structures for analytics.
- Implement and maintain data orchestration using tools like Azure DevOps and Kubernetes.
- Stay updated on the latest cloud native data engineering technologies.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Master's degree is a plus.
- Extensive experience as a Data Engineer in a cloud native environment.
- Proficiency in Azure storage, Databricks, MongoDB, and related technologies.
- Experience in data ingestion and transformation methods.
- Understanding of data modeling and schema design.
- Familiarity with cloud-based deployment and orchestration tools.
- Analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Experience with Agile development methodologies.
- Experience with Metadata Driven Framework is a plus.
- Familiarity with Data Marketplace and Data Mesh architecture is a plus.
- Azure or related certifications are desirable.
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