Data Engineering Specialist

1 day ago

Dombivli, Maharashtra, India beBeeDataEngineering Full time ₹ 1,52,50,000 - ₹ 2,02,50,000

About Position: Data Engineering Specialist

We are seeking a highly skilled and experienced Data Engineer who can bring deep expertise in cloud-based data engineering, healthcare data modeling, and consulting. The ideal candidate will have a strong background in Azure, Databricks, Azure Data Factory (ADF), Kafka, and Snowflake.

Job 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.

Required Skills and Qualifications:

  • 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.

Benefits and Opportunities:

  • The opportunity to work with top-notch technology and collaborate with industry experts.
  • A dynamic and supportive work environment that encourages professional growth and development.
  • The chance to make a meaningful impact on the healthcare industry and improve patient outcomes.

Ongoing Development and Support:

  • Ongoing training and professional development opportunities to enhance skills and knowledge.
  • Mentorship and guidance from experienced professionals in the field.
  • The ability to contribute to cutting-edge projects and initiatives.

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