Azure Data Engineer

3 weeks ago

india Infiniti Research Full time

About Quantzig:.

Quantzig is a global analytics & advisory firm with offices in the US, UK, Canada, 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.

Company Website: 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.

- Pyspark and PySQL hands on coding.

- Strong knowledge of Delta Lakes.

Additional Details:

Notice Period: Immediate to 30 Days.

Location: Cessna Business Park, Kadubeesanahalli, Bangalore.

(ref:hirist.tech)

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