Senior Data Infrastructure Specialist

19 hours ago

Jaipur, Rajasthan, India beBeeDataEngineer Full time ₹ 10,00,000 - ₹ 15,00,000

Job Role - Data Engineer

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A critical role in designing, developing, and maintaining our data pipelines and infrastructure. Work closely with data scientists, analysts, and other stakeholders to ensure data is accurate, timely, and accessible.

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  • Data Pipeline Development: Design, develop, and implement data pipelines using Azure Data Factory and Databricks to support the ingestion, transformation, and movement of data.
  • ETL Processes: Develop and optimize ETL (Extract, Transform, Load) processes to ensure efficient data flow and transformation.
  • Data Lake Management: Develop and maintain Azure Data Lake solutions, ensuring efficient storage and retrieval of large datasets.
  • Data Warehousing: Work with Azure Synapse Analytics to build and manage scalable data warehousing solutions that enable advanced analytics and reporting.
  • Data Integration: Integrate various data sources into MS-Fabric, ensuring data consistency, quality, and accessibility across different platforms.
  • Performance Optimization: Optimize data processing workflows and storage solutions to improve performance and reduce costs.
  • Database Management: Manage and optimize databases (SQL and NoSQL) to support high-performance queries and data storage requirements.
  • Data Quality: Implement data quality checks and monitoring to ensure accuracy and consistency of data.
  • Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
  • Documentation: Create and maintain comprehensive documentation for data processes, pipelines, and infrastructure, architecture and best practices.
  • Troubleshooting and Support: Identify and resolve issues in data pipelines, data lakes, and warehousing solutions, providing timely support and maintenance.
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Qualifications: 2-4 years of experience in data engineering or a related field. Proficiency with Azure Data Factory, Azure Synapse Analytics, Databricks, and Azure Data Lake.

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