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We are seeking a highly skilled and experienced Data Modeling professional 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.
- The successful candidate will be responsible for designing, developing, and optimizing scalable data pipelines using Azure Data Factory, Databricks, and Kafka.
- They will also architect and implement robust data warehousing solutions using Snowflake and other cloud-native technologies.
- A key aspect of the role is collaboration with business stakeholders and advisory consultants to understand data requirements and translate them into technical solutions.
About You
- You should have 7+ years of hands-on experience in data engineering and cloud platforms.
- A strong expertise in Azure Data Factory (ADF), Databricks (PySpark, Delta Lake), Apache Kafka is required.
- Proven experience in data warehousing, ETL/ELT design, and data modeling is essential.
- A solid understanding of cloud architecture, data governance, and security best practices is necessary.
- Experience working in consulting environments with direct client interaction is preferred.
Benefits Package
- A competitive salary and benefits package is offered.
- Talent development opportunities include quarterly promotion cycles and company-sponsored higher education and certifications.
- Cutting-edge technology and flexible work hours contribute to a great work environment.
- A commitment to diversity and inclusion fosters a welcoming workplace culture.