Data Engineer

4 days ago


Bangalore Urban, India Quantzig Full time

Job Description – Hybrid BI- Data Engineer (Azure) + BI

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:

  1. Technical Expertise:Proficiency in modern data engineering practices and cloud-based tools.
  2. Hands-on experience with Azure data platforms, including Azure SQL, Synapse, and Data Factory.
  3. Expertise in building and managing scalable ETL pipelines.
  4. Strong understanding of Medallion Architecture or similar layered frameworks.
  5. Working knowledge of Power BI and SQL (not at expert level).
  6. Familiarity with tools and frameworks for automation and workflow orchestration.
  7. Soft Skills:Excellent communication and interpersonal skills for stakeholder engagement.
  8. Strong analytical and problem-solving capabilities.
  9. Experience:Bachelor's degree in computer science, Data Engineering, or a related field.
  10. 4-6 years of relevant experience in data engineering roles.


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