Data Engineer
2 days ago
We are seeking a highly skilled and experienced Big Data Architect to join our team at TechnoGen. The ideal candidate should possess expertise in a variety of technologies and tools, with a particular focus on Databricks, Python, Pyspark, MongoDB, Redis, Kubernetes, and containerization deployment.
Key Responsibilities
- Develop and maintain data pipelines using Databricks, Python, and Pyspark.
- Implement Python API-based project development using REST APIs for efficient data processing.
- Utilize MongoDB and Redis for data storage and retrieval.
- Deploy and manage applications using Kubernetes and containerization technologies.
- Collaborate with the Data Science and Machine Learning teams to develop and deploy DS/ML pipelines.
- Explore and implement Delta Live Tables for real-time data processing and analytics.
- Participate in the design, development, and optimization of data architecture.
- Troubleshoot and resolve data-related issues in a timely manner.
- Stay updated with emerging technologies and industry trends to continuously improve data engineering processes.
Requirements
- Proficiency in Databricks, Python coding, and workflows.
- Strong experience with Pyspark coding for data processing tasks.
- In-depth knowledge of MongoDB and Redis for data storage and retrieval.
- Familiarity with Kubernetes and containerization deployment for application management.
- Experience in DS/ML pipeline development and deployment is highly desirable.
- Knowledge of Delta Live Tables for real-time data processing is a plus.
- Familiarity with Azure DevOps for continuous integration and deployment.
- Understanding of real-time streaming concepts and technologies.
What We Offer
The salary for this position is $120,000 per year, based on your skills and experience. As a TechnoGen employee, you will receive comprehensive benefits, including medical, dental, and vision insurance, 401(k) matching, and paid time off.
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