Home › Companies › BrassRing 26656 / 5008 › Software Engineer
Software Engineer
BrassRing 26656 / 5008 · Deleted · IBM Kenexa BrassRing
Job facts
| Field | Value |
|---|---|
| Company | BrassRing 26656 / 5008 |
| Title | Software Engineer |
| Normalized title | - |
| Department / team | - |
| Location | Should 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 | - |
| Status | deleted |
| ATS provider | IBM Kenexa BrassRing |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-06-03 / 2026-06-01 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from BrassRing 26656 / 5008. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through IBM Kenexa BrassRing. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active 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 events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | BrassRing 26656 / 5008 |
| Source | e1637726-c0ef-49b8-9808-a8155364dcc5 |
| ATS provider | IBM 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 ID | b590b293c7b3e5c7ae6a4bf8ce5261c8ef5b036f |
| Org ID | 73dab4f5-a7e2-4493-8789-a1ee60352a1a |
| Source ID | e1637726-c0ef-49b8-9808-a8155364dcc5 |
| Board ID | e1637726-c0ef-49b8-9808-a8155364dcc5 |
| Provider | ibm_kenexa_brassring |
| Provider Job Key | 52068 |
| Title | Software Engineer |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | — |
| Department | — |
| Team | — |
| Employment Type | — |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | — |
| 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 |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26656&siteid=5008&jobid=52068 |
| Apply URL | https://sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?PageType=JobDetails&partnerid=26656&siteid=5008&jobid=52068 |
| First Seen At | 2026-05-29 20:04:26Z |
| Last Seen At | 2026-06-01 12:04:52Z |
| Last Checked At | 2026-06-03 10:39:04Z |
| Last Changed At | 2026-06-03 10:39:04Z |
| Inactive At | 2026-06-03 10:39:04Z |
| Source Posted At | — |
| Source Updated At | 2026-05-18 00:00:00Z |
| Raw Payload Uri | s3://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 |
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Rendered from the bluedoor Job Postings API. Reproduce it:
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