Azure data engineer

2 weeks ago

Delhi, India Quantzig Full time
About Quantzig: Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding, Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we’re looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.
Find out more about the company:
Job Description:
Designation- Hybrid BI- Data Engineer (Azure) + BI
Experience- 5 to 7 Years
Notice Period- 0-15days
Location- Remote
Role Overview:
We are looking for an experienced Data Engineer to join our team. The ideal candidate will focus on designing and managing end-to-end data solutions. This includes leveraging modern architectures like Medallion, developing robust ETL pipelines, and utilizing Azure-based databases to deliver scalable, efficient, and secure data workflows. Strong communication skills and stakeholder management are essential for this role.
Key Responsibilities:
Data Architecture: Design and implement data systems using Medallion Architecture principles to ensure reliability, scalability, and performance.
ETL Development: Build, optimize, and maintain ETL pipelines to handle large volumes of data across diverse sources.
Cloud Expertise: Leverage Azure data services, such as Azure SQL, Synapse Analytics, and Azure Data Factory, to develop and deploy data solutions.
Data Modeling: Create and maintain efficient data models that align with business needs and improve data accessibility.
Automation: Implement and enhance automation in data workflows to improve efficiency and reduce manual intervention.
Data Governance: Ensure data integrity, security, and compliance across all processes.
Collaboration: Work closely with cross-functional teams to gather requirements, align on goals, and deliver solutions that meet business needs.
Required Skills and Qualifications:
Technical Expertise:
Proficiency in modern data engineering practices and cloud-based tools.
Hands-on experience with Azure data platforms, including Azure SQL, Synapse, and Data Factory.
Expertise in building and managing scalable ETL pipelines.
Strong understanding of Medallion Architecture or similar layered frameworks.
Working knowledge of Power BI and SQL (not at expert level).
Familiarity with tools and frameworks for automation and workflow orchestration.
Soft Skills:
Excellent communication and interpersonal skills for stakeholder engagement.
Strong analytical and problem-solving capabilities.
Experience:
Bachelor's degree in computer science, Data Engineering, or a related field.
4-6 years of relevant experience in data engineering roles.

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