Data Engineer

2 weeks ago

Delhi, 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 : do we look for?
Minimum Relevant Experience: 4-6 years in Databricks/Azure Cloud Technologies
Skillset Description

Azure Databricks and Azure Data Factory Expertise:
Demonstrate proficiency in designing, implementing, and optimizing data workflows using Azure Databricks and Azure Data Factory.
Provide expertise in configuring and managing data pipelines within the Azure cloud environment.

PySpark Proficiency:
Possess a strong command of PySpark for data processing and analysis.
Develop and optimize PySpark code to ensure efficient and scalable data transformations.

Big Data & CI/CD Experience:
Ability to troubleshoot and optimize data processing tasks on large datasets. Design and implement automated CI/CD pipelines for data workflows.

This involves using tools like Jenkins, GitLab CI/CD, or Azure DevOps to automate the building, testing, and deployment of data pipelines.


Data Pipeline Development & Deployment:
Design, implement, and maintain end-to-end data pipelines for various data sources and destinations.

This includes unit tests for individual components, integration tests to ensure that different components work together correctly, and end-to-end tests to verify the entire pipeline's functionality.

Ensure data quality, integrity, and reliability throughout the entire data pipeline.

Extraction, Ingestion, and Consumption Frameworks:
Develop frameworks for efficient data extraction, ingestion, and consumption.
Implement best practices for data integration and ensure seamless data flow across the organization.

Collaboration and Communication:
Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
Communicate effectively with stakeholders to gather and clarify data-related requirements.

Mandate Skill sets:
Azure Databricks
Azure Data Factory
Azure Delta lake
Pyspark
CI/CD OR Azure DevOps

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