bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesBrassRing 26656 / 5008Software Engineer

Software Engineer

BrassRing 26656 / 5008 · Deleted · IBM Kenexa BrassRing

Job facts

FieldValue
CompanyBrassRing 26656 / 5008
TitleSoftware Engineer
Normalized title-
Department / team-
LocationShould have good analytical skills and experienced in writing SQL queries Should have hands-on experience in developing Spark applications using Data frame API, United States
Work model-
Employment type-
Salary-
Statusdeleted
ATS providerIBM Kenexa BrassRing
Posted / first seen / 2026-05-29
Changed / last seen2026-06-03 / 2026-06-01

Related slices

PageWhat it containsOpen
Company jobsActive postings from BrassRing 26656 / 5008.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through IBM Kenexa BrassRing.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Should have good analytical skills and experienced in writing SQL queries Should have hands-on experience in developing Spark applications using Data frame API.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyBrassRing 26656 / 5008
Sourcee1637726-c0ef-49b8-9808-a8155364dcc5
ATS providerIBM Kenexa BrassRing

Description

Should have good analytical skills and experienced in writing SQL queries Should have hands-on experience in developing Spark applications using Data frame API, PySpark-SQL in Data bricks for data extraction, transformation, and aggregation from multiple file formats for Analyzing & transforming the data using Python to uncover insights into the customer usage patterns. Should have hands-on experience Extract Transform and Load data from sources Systems (On-prem) to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Spark SQL. Metadata driven ingestion pipeline framework by using Azure Data Factory Should have real time experience of implementing spark optimization techniques and adaptive query execution configuration in data bricks. Involved in conducting the code review and Results with the Developers Good understanding and real time architecture experience on Azure cloud (ADLS, ADFS, ADF) Knowledge of using GitHub for code versioning and devops deployment process. Consume data and generate reports using Power BI Good to have: Have good exposure to USA Healthcare Insurance domain

Full job record

Job IDb590b293c7b3e5c7ae6a4bf8ce5261c8ef5b036f
Org ID73dab4f5-a7e2-4493-8789-a1ee60352a1a
Source IDe1637726-c0ef-49b8-9808-a8155364dcc5
Board IDe1637726-c0ef-49b8-9808-a8155364dcc5
Provideribm_kenexa_brassring
Provider Job Key52068
TitleSoftware Engineer
Normalized Title
Statusdeleted
Activeno
Location Text
Department
Team
Employment Type
Workplace Type
Remote Policy
CountryUnited States
Region
CityShould have good analytical skills and experienced in writing SQL queries Should have hands-on experience in developing Spark applications using Data frame API
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26656&siteid=5008&jobid=52068
Apply URLhttps://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26656&siteid=5008&jobid=52068
First Seen At2026-05-29 20:04:26Z
Last Seen At2026-06-01 12:04:52Z
Last Checked At2026-06-03 10:39:04Z
Last Changed At2026-06-03 10:39:04Z
Inactive At2026-06-03 10:39:04Z
Source Posted At
Source Updated At2026-05-18 00:00:00Z
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=ibm_kenexa_brassring/board=p:26656|s:5008/date=2026-06-01/2026-06-01T12-04-46-866Z-64389059de205b1f3627bea816a74b6d21d34451341cf53a8cc72a6faa9c4034.json
Event Fields
{
  "content_hash": "409b1f87e1c2f589e0795982b897f8cebbfee283cb13cf05797d4ced5f60ac8b",
  "source_hash": "a9271246f853d6fa07d2289bbee27da4866d5ca5896426df854fb2e5c4e084f7",
  "last_changed_at": "2026-06-03T10:39:04.833Z",
  "active_status": "deleted"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Should have good analytical skills and experienced in writing SQL queries Should have hands-on experience in developing Spark applications using Data frame API, PySpark-SQL in Data bricks for data extraction, transformation, and aggregation from multiple file formats for Analyzing & transforming the data using Python to uncover insights into the customer usage patterns. Should have hands-on experience Extract Transform and Load data from sources Systems (On-prem) to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Spark SQL. Metadata driven ingestion pipeline framework by using Azure Data Factory Should have real time experience of implementing spark optimization techniques and adaptive query execution configuration in data bricks. Involved in conducting the code review and Results with the Developers Good understanding and real time architecture experience on Azure cloud (ADLS, ADFS, ADF) Knowledge of using GitHub for code versioning and devops deployment process. Consume data and generate reports using Power BI\nGood to have:\nHave good exposure to USA Healthcare Insurance domain",
    "city": "Should have good analytical skills and experienced in writing SQL queries Should have hands-on experience in developing Spark applications using Data frame API",
    "region": null,
    "country": "United States",
    "is_remote": false,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-01T12:04:51.769Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Should have good analytical skills and experienced in writing SQL queries Should have hands-on experience in developing Spark applications using Data frame API, PySpark-SQL in Data bricks for data extraction, transformation, and aggregation from multiple file formats for Analyzing & transforming the data using Python to uncover insights into the customer usage patterns. Should have hands-on experience Extract Transform and Load data from sources Systems (On-prem) to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Spark SQL. Metadata driven ingestion pipeline framework by using Azure Data Factory Should have real time experience of implementing spark optimization techniques and adaptive query execution configuration in data bricks. Involved in conducting the code review and Results with the Developers Good understanding and real time architecture experience on Azure cloud (ADLS, ADFS, ADF) Knowledge of using GitHub for code versioning and devops deployment process. Consume data and generate reports using Power BI\nGood to have:\nHave good exposure to USA Healthcare Insurance domain",
      "city": "Should have good analytical skills and experienced in writing SQL queries Should have hands-on experience in developing Spark applications using Data frame API",
      "region": null,
      "country": "United States",
      "is_remote": false,
      "confidence": 0.95
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "Link": "https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partnerid=26656&siteid=5008&PageType=JobDetails&jobid=52068",
  "score": 0,
  "Applied": false,
  "geodist": 0,
  "IsActive": false,
  "Language": null,
  "Selected": false,
  "localeId": "1033",
  "ApplyDiff": 0,
  "Questions": [
    {
      "QId": 1,
      "Value": "52068",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "reqid",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "No",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "hotjob",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "26656",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "clientid",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "5008",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "siteid",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "146",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "gqid",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "1",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "jobreqlanguage",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "0.0",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "latitude",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "0.0",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "longitude",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "18-May-2026",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "lastupdated",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "Software Engineer",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "jobtitle",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "<ul><li>Should have good analytical skills and experienced in writing SQL queries</li><li>Should have hands-on experience in developing Spark applications using Data frame API, PySpark-SQL in Data bricks for data extraction, transformation, and aggregation from multiple file formats for Analyzing &amp; transforming the data using Python to uncover insights into the customer usage patterns.</li><li>Should have hands-on experience Extract Transform and Load data from sources Systems (On-prem) to Azure Data Storage services using a combination of Azure Data factory, T-SQL, Spark SQL.</li><li>Metadata driven ingestion pipeline framework by using Azure Data Factory</li><li>Should have real time experience of implementing spark optimization techniques and adaptive query execution configuration in data bricks.</li><li>Involved in conducting the code review and Results with the Developers</li><li>Good understanding and real time architecture experience on Azure cloud (ADLS, ADFS, ADF)</li><li>Knowledge of using GitHub for code versioning and devops deployment process.</li><li>Consume data and generate reports using Power BI</li></ul>&nbsp;<br>Good to have:<br>Have good exposure to USA Healthcare Insurance domain",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "jobdescription",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "46671BR",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "autoreq",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    },
    {
      "QId": 1,
      "Value": "Bangalore - Campus ",
      "Options": null,
      "AjaxLoad": false,
      "VerityZone": null,
      "QuestionName": "formtext4",
      "QuestionType": null,
      "IsAutoComplete": false,
      "QuestionNumber": null,
      "IsChildQuestion": false,
      "selectedOptions": null,
      "IsParentQuestion": false,
      "ParentQuestionId": 0,
      "QuestionDescription": null,
      "ActualValueFromSolar": null,
      "SelectedOptionsFromSavedSearch": null
    }
  ],
  "SavedDate": null,
  "NextApplyDate": null,
  "SavedDateTime": null,
  "NoOfDaysToExpire": 0,
  "NoOfHoursToExpire": 0,
  "CurrentSubmissions": 0,
  "isSocialReferralJobRestricted": false
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/b590b293c7b3e5c7ae6a4bf8ce5261c8ef5b036f?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/73dab4f5-a7e2-4493-8789-a1ee60352a1aJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/e1637726-c0ef-49b8-9808-a8155364dcc5JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/b590b293c7b3e5c7ae6a4bf8ce5261c8ef5b036f/eventsJSON