Data Engineer

As a Data Engineer with 6+ years of experience, you will be responsible for building and optimizing scalable data pipelines and supporting AI/ML model deployments using Databricks, Snowflake, Python, and Spark. Your expertise in cloud-based data platforms and exposure to the Healthcare domain will be beneficial in this role. Key Responsibilities: - Build and optimize scalable data pipelines using Databricks, Snowflake, Python, and Spark. - Support AI/ML model deployments. - Work with cloud-based data platforms such as Azure Cloud. - Utilize Kubernetes and Apache Airflow for data orchestration. - Implement and manage CI/CD pipelines using GitHub. - Deploy AI/ML models effectively. - Perform data analytics to derive insights. - Apply best practices in scalable data engineering architectures. Qualifications Required: - Proficiency in Databricks, Snowflake, Python, Apache Spark, SQL, Azure Cloud. - Experience with Kubernetes, Apache Airflow, GitHub & CI/CD Pipelines. - Familiarity with AI/ML model deployment and data analytics. - Preferred experience in the Healthcare domain. - Strong understanding of scalable data engineering architectures and best practices. Note: The company is looking for someone with a strong background in Databricks, Snowflake, Python, Spark, and cloud-based data platforms, particularly in the Healthcare domain. Your expertise in building scalable data pipelines and supporting AI/ML model deployments will be key in this role. As a Data Engineer with 6+ years of experience, you will be responsible for building and optimizing scalable data pipelines and supporting AI/ML model deployments using Databricks, Snowflake, Python, and Spark. Your expertise in cloud-based data platforms and exposure to the Healthcare domain will be beneficial in this role. Key Responsibilities: - Build and optimize scalable data pipelines using Databricks, Snowflake, Python, and Spark. - Support AI/ML model deployments. - Work with cloud-based data platforms such as Azure Cloud. - Utilize Kubernetes and Apache Airflow for data orchestration. - Implement and manage CI/CD pipelines using GitHub. - Deploy AI/ML models effectively. - Perform data analytics to derive insights. - Apply best practices in scalable data engineering architectures. Qualifications Required: - Proficiency in Databricks, Snowflake, Python, Apache Spark, SQL, Azure Cloud. - Experience with Kubernetes, Apache Airflow, GitHub & CI/CD Pipelines. - Familiarity with AI/ML model deployment and data analytics. - Preferred experience in the Healthcare domain. - Strong understanding of scalable data engineering architectures and best practices. Note: The company is looking for someone with a strong background in Databricks, Snowflake, Python, Spark, and cloud-based data platforms, particularly in the Healthcare domain. Your expertise in building scalable data pipelines and supporting AI/ML model deployments will be key in this role.