Data Engineering Expert for Large-Scale Azure Projects
1 week ago
Quantzig is a global analytics and advisory firm with offices in several countries, including the US, UK, Canada, China, and India. Our team of experts has assisted clients worldwide with end-to-end advanced analytics, visual storyboarding, Machine Learning, and data engineering solutions implementation to support informed decision-making.
We are a rapidly growing organization built and operated by high-performance champions. If you have the skills and drive to take ownership of an entire project from start to finish, help build a strong team, and contribute to our growth story, we want to hear from you. Our clients appreciate our solutioning capabilities, enthusiasm, and commitment to excellence.
Job Description: Senior Data Engineer
Experience: 4-7 years
Location: Bangalore (Work from office)
Responsibilities:
- Design and develop data processing pipelines using various ETL tools for data ingestion, cleansing, transformation, and job orchestration in an Azure cloud environment.
- Implement robust data security measures, including role-based access control, data masking, and encryption of sensitive information.
- Monitor and optimize data storage and processing using monitoring tools, as well as implementing archive concepts and query tuning techniques.
We require a highly skilled Data Engineer with at least 4-6 years of experience in leading data engineering teams and working with Azure cloud technologies. A deep understanding of cloud technologies and experience delivering large-scale projects on time is essential. Key skills include expertise in Azure Synapse Data Pipelines, PySpark, Spark SQL, T-SQL, and proficiency in Python.
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