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Cloud Data Engineering Specialist

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Ghaziabad, Uttar Pradesh, India beBeeDataEngineering Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Cloud Data Engineering Specialist

We are seeking an experienced Cloud Data Engineering Specialist to join our team. The ideal candidate will bring deep expertise in cloud-based data engineering, healthcare data modeling, and consulting with a strong background in Azure, Databricks, Azure Data Factory (ADF), Kafka, and Snowflake.

Key Responsibilities:
  • Design, develop, and optimize scalable data pipelines using Azure Data Factory, Databricks, and Kafka.
  • Architect and implement robust data warehousing solutions using Snowflake and other cloud-native technologies.
  • Collaborate with business stakeholders and advisory consultants to understand data requirements and translate them into technical solutions.
  • Ensure data quality, integrity, and security across all data platforms.
  • Perform advanced data transformations, cleansing, and enrichment to support analytics and reporting needs.
  • Monitor and troubleshoot data pipeline performance and reliability.
  • Document technical designs, processes, and best practices.
  • Design and implement healthcare-specific data models including payer modules.
  • Collaborate with domain experts to develop logical and physical data models.
  • Utilize data modeling tools to create and maintain healthcare data models aligned with business requirements.
Requirements:
  • 7+ years of hands-on experience in data engineering and cloud platforms.
  • Strong expertise in Azure Data Factory (ADF), Databricks (PySpark, Delta Lake), Apache Kafka,
  • Proven experience in data warehousing, ETL/ELT design, and data modeling.
  • Solid understanding of cloud architecture, data governance, and security best practices.
  • Experience working in consulting environments with direct client interaction.
  • Strong experience in healthcare data modeling, especially in payer modules.
  • Proficiency in data modeling tools such as ER/Studio, Erwin Data Modeler, or similar.
  • Demonstrated expertise in conceptual, logical, and physical data modeling practices.