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"raw": "{\r\n \"jobDescription\": \"Should have these skills: Machine Learning, Dropwizard, NGINX, appcelerator\"\r\n}",
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"raw": "{\r\n \"jobDescription\": \"Should have these skills: Machine Learning, Dropwizard, NGINX, appcelerator, C#\"\r\n}",
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"options": {
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"raw": {
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"language": "json"
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"pm.test('Status code is 400', function () {\r",
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" pm.response.to.have.status(400);\r",
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" const response = pm.response.json()\r",
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" pm.expect(response.message).to.eq(\"\\\"data\\\" must have at least 1 key\")\r",
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" pm.expect(response.message).to.eq(\"\\\"data\\\" must contain at least one of [roleId, jobDescription, skills]\")\r",
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"});"
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],
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"type": "text/javascript"
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],
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"request": {
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"method": "POST",
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"header": [
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{
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"key": "Authorization",
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"type": "text",
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"value": "Bearer {{token_administrator}}"
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},
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{
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"key": "Content-Type",
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"type": "text",
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"value": "application/json"
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}
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],
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"body": {
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"mode": "raw",
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"raw": "{ \"description\": \"Description A global leading healthcare company is seeking a strong Databricks Engineer to join their development team as they build their new Databricks workspace. Development efforts will contribute to the migration of data from Hadoop to Databricks to prepare data for visualization. Candidate must be well-versed in Databricks components and best practices, be an excellent problem solver and be comfortable working in a fast-moving, rapidly changing, and dynamic environment via Agile, SCRUM, and DevOps. PREFERRED QUALIFICATIONS: 2+ years of Azure Data Stack experience: Azure Data Services using ADF, ADLS, Databricks with PySpark, Azure DevOps & Azure Key Vault. Strong knowledge of various data warehousing methodologies and data modeling concepts. Hands-on experience using Azure, Azure data lake, Azure functions & Databricks Minimum 2-3+ years of Python experience (PySpark) Design & Develop Azure native solutions for Data Platform Minimum 3+ years of experience using Big Data ecosystem (Cloudera/Hortonworks) using Oozie, Hive, Impala, and Spark Expert in SQL and performance tuning\" }",
"raw": "{ \"description\": \"Description A global leading healthcare company is seeking a strong Databricks Engineer to join their development team as they build their new Databricks workspace. Development efforts will contribute to the migration of data from Hadoop to Databricks to prepare data for visualization. Candidate must be well-versed in Databricks components and best practices, be an excellent problem solver and be comfortable working in a fast-moving, rapidly changing, and dynamic environment via Agile, SCRUM, and DevOps. PREFERRED QUALIFICATIONS: 2+ years of Azure Data Stack experience: Azure Data Services using ADF, ADLS, Databricks with PySpark, Azure DevOps & Azure Key Vault. Strong knowledge of various data warehousing methodologies and data modeling concepts. Hands-on experience using Azure, Azure data lake, Azure functions & Databricks Minimum 2-3+ years of Python experience (PySpark) Design & Develop Azure native solutions for Data Platform Minimum 3+ years of experience using Big Data ecosystem (Cloudera/Hortonworks) using Oozie, Hive, Impala, and Spark Expert in SQL and performance tuning\" }",
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