Lead Data Architect

4 weeks ago

Bangalore, Karnataka, 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.

Experience : 8+ years.

Responsibilities :

1. Data ETL, Storage, and Governance :

- Design and implement robust Data ETL (Extract, Transform, Load) processes.

- Oversee data storage solutions and ensure effective data governance throughout the entire data lifecycle, from edge to the cloud.

2. Azure Platform Expertise :

- Demonstrate end-to-end proficiency in working on Azure platforms.

- Spearhead the creation of a comprehensive Data Lake house on Azure, ensuring scalability and efficiency.

3. IoT Data Gathering :

- Utilize IoT (Internet of Things) technologies for efficient data gathering.

- Implement data collection strategies using various devices within the Manufacturing domain.

4. Programming Proficiency :

- Possess mandatory skills in SQL, Spark, and Python.

- Leverage these programming languages for data processing, analysis, and system integration.

5. Supply Chain Knowledge :

- Demonstrate in-depth knowledge of Supply Chain processes, focusing on manufacturing, logistics, procurement, and related domains.

Qualifications :

- Bachelor's degree in a relevant field; advanced degree preferred.

- Proven experience of 8 or more years in Data Architecture roles, specifically within Supply Chain programs.

- Strong expertise in SQL, Spark, and Python for data manipulation and analysis.

- Extensive experience with Azure platforms and the creation of Data Lake houses.

- In-depth understanding of data governance principles and best practices.

- Previous involvement in data gathering initiatives using IoT technologies.

- Excellent communication and collaboration skills to work effectively across teams.

- Proven ability to provide end-to-end solutions for complex data problems.

(ref:hirist.tech)

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