Azure Data Engineer

2 months ago

Kochi, India VIPSA TALENT SOLUTIONS PRIVATE LIMITED Full time

Key Responsibilities :

- Design, construct, install, test, and maintain highly scalable and robust data management systems.

- Understand and apply data warehousing concepts to design and implement robust data warehouse tables in line with business requirements.

- Build complex ETL/ELT processes for large-scale data migration and transformation across platforms and Enterprise systems such as : Oracle ERP, ERP Fusion, and Salesforce.

- Ability & expertise to extract data from several sources like APIs, Jsons, Databases etc

- Leverage PySpark and Databricks within the Azure ecosystem to manipulate large datasets, improve the performance, and enhance scalability of our data operations.

- Develop and implement Azure-based data architectures consistent across multiple projects while adhering to best practices and standards.

- Lead initiatives for data integrity and normalization within Azure data storage and processing environments.

- Evaluate and optimize Azure-based database systems for performance efficiency, reusability, reliability, and scalability.

- Troubleshoot complex data-related issues within Azure and provide expert guidance and support to the team.

- Ensure all data processes adhere to governance, data security, and privacy regulations.

Required Qualifications :

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

- 8+ years of experience in a Data Engineer role, with at least 3 years as an Azure data engineer.

- Expertise in Python, SQL, and deep understanding of PySpark.

- Proficient in Databricks or similar big data solutions.

- Strong knowledge of ETL/ELT frameworks, data structures, and software architecture.

- Proven experience in designing and deploying high-performance data processing systems on.

- Extensive experience with Azure cloud data platforms, including Azure Data Factory, Azure SQL Data Warehouse, Azure Databricks.

- Ability to design and implement data schemas, data models, and database designs in accordance with business requirements.

(ref:hirist.tech)

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