Azure Data Engineer

1 month ago


Pune, Maharashtra, India ACZ Global Pvt Ltd Full time

Azure Data Engineer

Mandatory Skills : Pyspark + Databricks + Adf + Synapse is mandatory

Job Description:

We are looking for a skilled and motivated Azure Data Engineer to join our team. As an Azure Data Engineer, you will play a crucial role in designing, implementing, and maintaining data solutions on the Microsoft Azure platform. The ideal candidate will have a strong technical background in data engineering, hands-on experience with Azure data services, and the ability to develop efficient and scalable data Pipeline Development:

- Design, develop, and maintain scalable data pipelines using Azure data services such as Azure Data Factory, Azure Databricks, and Apache Spark.

- Implement efficient Extract, Transform, Load (ETL) processes to move and transform data across various sources.

Data Modeling and Integration:

- Work with data architects to understand data requirements and implement effective data models.

- Integrate data from diverse sources, both on-premises and in the cloud, ensuring data consistency and accuracy.

Azure Data Services Utilization:

- Utilize Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage, and other Azure data services to store and retrieve data.

- Implement and optimize data solutions using Azure Synapse Analytics (formerly SQL Data Warehouse).

Data Quality and Governance:

- Implement data quality checks and ensure adherence to data governance and compliance standards.

- Collaborate with data architects to enforce data quality and integrity across the data pipelines.

Collaboration with Cross-Functional Teams:

- Collaborate with data scientists, business analysts, and other stakeholders to understand data requirements and deliver effective solutions.

- Work closely with IT teams to integrate data solutions into existing systems.

Performance Optimization:

- Optimize data pipelines for performance, scalability, and cost efficiency.

- Conduct performance tuning and troubleshooting to address bottlenecks and enhance overall system Create and maintain comprehensive documentation for data pipelines, data integrations, and ETL processes.

- Ensure documentation is kept up-to-date with changes in the data environment.

Continuous Learning:

- Stay updated on the latest Azure data services and technologies.

- Engage in continuous learning and share knowledge with the team.

(ref:hirist.tech)

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