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Analytics Consultant

4 weeks ago

Delhi, Delhi, India Infiniti Research 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 : https://www.quantzig.com/.

What are we looking for ?

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.

(ref:hirist.tech)