Azure Data Engineer

3 weeks ago

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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