Azure Data Engineer

4 weeks ago

Noida, India Codestore Technologies Pvt. Ltd. Full time

Responsibilities :

- Designing & Building data architectures including the design & set-up of scalable Modern Data Platforms.

- Collaborate with cross functional teams and stakeholders including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.

- Implement and maintain data solutions on Azure, including deployment, monitoring, and optimization.

- Design and develop data integration process using Dot Net technologies.

- Design and implement robust ETL processes for transforming and loading data from various sources into Azure storage solutions.

- Optimize and fine-tune data pipelines for performance, reliability, and data quality, ensuring smooth and efficient data processing.

- Monitor, troubleshoot, and resolve any issues or errors in data pipelines ensuring data integrity and availability.

- Utilize your expertise in data modelling and schema design to ensure data structures meet business needs and support efficient querying and reporting.

- Remaining up to date with developments in technology and industry norms can help you to produce higher-quality results.

Requirements :

- Bachelor's or higher degree in Computer Science, Engineering, or a related field.

- 5 to 8 years of professional experience as a Azure Data Engineer.

- 4+ years of experience in developing or supporting Azure Data Factory, Azure Databricks, Azure DevOps, Azure Data Lake storage (ADLS), SQL and Synapse data warehouse.

- Hands-on experience in working with high-volume, mission-critical applications.

- Experience in C#, .NET Core.

- Experience with version control systems (e.g., Git), CI/CD pipelines, and automated deployment methodologies.

- Solid understanding of Agile/Scrum methodologies and ability to work in an Agile environment.

- Excellent problem-solving skills, attention to detail, and a proactive mindset.

- Azure Data Engineer or Solutions Architect certification is desirable.

- Familiarity with DevOps practices and tools.

(ref:hirist.tech)

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