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HomeCompaniesAlgomusData Engineer (Azure Platform)

Data Engineer (Azure Platform)

Algomus · Lahore, Punjab, 54590, Pakistan · On Site · Active · BambooHR

Job facts

FieldValue
CompanyAlgomus
TitleData Engineer (Azure Platform)
Normalized title-
Department / teamData Services
LocationLahore, Punjab
Work modelOn Site
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2025-10-16 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Algomus.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Lahore.Open
Department jobsActive postings in Data Services.Open
Work model jobsActive On Site postings.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

CompanyAlgomus
Source0ba6f895-f36d-439c-b089-5f0f8776525c
ATS providerBambooHR

Description

Position: Data Engineer (Azure Platform) Location: Lahore, Pakistan (on-site) Job Description • Design and develop scalable data warehouse solutions to support analytics and reporting. • Build and maintain efficient Azure Data Pipelines using Azure Data Factory for ETL processes. • Develop and optimize Spark jobs using Databricks and PySpark for large-scale data transformations. • Coordinate with onsite and offshore teams to ensure seamless project execution and business continuity. • Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik. • Manage the presentation and access layers to ensure secure and efficient data access. • Work directly with clients and stakeholders to understand requirements and deliver actionable data solutions Qualifications • BS in Computer Science or a related field with 4-5 years of experience in BI and data management projects. • Strong expertise in database and data warehouse design , support, and maintenance. • Proficiency in writing complex SQL and SparkSQL queries . • Experience in Python and its data-related frameworks. • Hands-on experience with Databricks and PySpark for data engineering tasks. • Strong proficiency in Power BI; experience with other BI tools is a plus. • Experience with Azure Data Platform (Data Factory, Azure SQL, Synapse, Data Lake) is preferred. • Ability to generate and maintain comprehensive technical documentation. • Excellent communication and interpersonal skills. • Strong analytical and problem-solving abilities. • Willingness to learn and adapt to new technologies and project requirements. • Experience in data analysis is a plus. • Ability to work independently and handle critical situations confidently. • A collaborative, team-oriented mindset.

Full job record

Job IDec635c2654cb779f83e7cd3d7265b285c59c8ccc
Org ID4b0e4875-486e-4c4a-8253-def5c7f814ea
Source ID0ba6f895-f36d-439c-b089-5f0f8776525c
Board ID0ba6f895-f36d-439c-b089-5f0f8776525c
Providerbamboohr
Provider Job Key239
TitleData Engineer (Azure Platform)
Normalized Title
Statusactive
Activeyes
Location TextLahore, Punjab, 54590, Pakistan
DepartmentData Services
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
Country
RegionPunjab
CityLahore
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://algomus.bamboohr.com/careers/239
Apply URLhttps://algomus.bamboohr.com/careers/239
First Seen At2026-05-30 05:40:52Z
Last Seen At2026-06-06 20:18:36Z
Last Checked At2026-06-06 20:18:36Z
Last Changed At2026-05-30 05:40:52Z
Inactive At
Source Posted At2025-10-16 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=algomus/date=2026-06-06/2026-06-06T20-18-35-876Z-02e653b79280ab3d452936dd11ff57a3cd0d265657a2e99e4a850021b93ffdb0.json
Event Fields
{
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  "source_hash": "5f25989591296a4268bfa3528046857aa3fe6f437fdfc05ac628886fb365708d",
  "last_changed_at": "2026-05-30T05:40:52.233Z",
  "active_status": "active"
}
Parsed Structured
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    "city": "Lahore",
    "region": "Punjab",
    "country": null,
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T20:18:36.666Z",
  "launch_scope": {
    "reason": "bamboohr_production_catalog",
    "included": true,
    "location": {
      "raw": "Lahore, Punjab, 54590, Pakistan",
      "city": "Lahore",
      "region": "Punjab",
      "country": null,
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": []
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}
Extensions
{}
Native Structured
{
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    "isRemote": null,
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    "departmentId": "19079",
    "locationType": "0",
    "jobOpeningName": "Data Engineer (Azure Platform)",
    "departmentLabel": "Data Services",
    "employmentStatusLabel": "Full-Time - Pakistan"
  },
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  "detail_job_opening": {
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      "state": "Punjab",
      "postalCode": "54590",
      "addressCountry": "Pakistan"
    },
    "datePosted": "2025-10-16",
    "atsLocation": {
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    },
    "description": "<p><span style=\"font-weight: bold\">Position:</span> Data Engineer (Azure Platform)</p>\n<p><span style=\"font-weight: bold\">Location:</span> Lahore, Pakistan (on-site)</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Job Description</span><br>• Design and develop scalable data warehouse solutions to support analytics and reporting.<br>• Build and maintain efficient <span style=\"font-weight: bold\">Azure Data Pipelines </span>using <span style=\"font-weight: bold\">Azure Data Factory</span> for ETL processes.<br>• Develop and optimize Spark jobs using <span style=\"font-weight: bold\">Databricks</span> and <span style=\"font-weight: bold\">PySpark</span> for large-scale data transformations.<br>• Coordinate with onsite and offshore teams to ensure seamless project execution and business continuity.<br>• Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik.<br>• Manage the presentation and access layers to ensure secure and efficient data access.<br>• Work directly with clients and stakeholders to understand requirements and deliver actionable data solutions</p>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Qualifications</span></p>\n<p>• BS in Computer Science or a related field with <span style=\"font-weight: bold\">4-5 years of experience</span> in BI and data management projects.<br>• Strong expertise in <span style=\"font-weight: bold\">database</span> and <span style=\"font-weight: bold\">data warehouse design</span>, support, and maintenance.<br>• Proficiency in <span style=\"font-weight: bold\">writing complex SQL</span> and <span style=\"font-weight: bold\">SparkSQL queries</span>.<br>• Experience in <span style=\"font-weight: bold\">Python</span> and its data-related frameworks.<br>• Hands-on experience with <span style=\"font-weight: bold\">Databricks</span> and <span style=\"font-weight: bold\">PySpark</span> for data engineering tasks.<br>• Strong proficiency in Power BI; experience with other BI tools is a plus.<br>• Experience with Azure Data Platform <span style=\"font-weight: bold\">(Data Factory, Azure SQL, Synapse, Data Lake)</span> is preferred.<br>• Ability to generate and maintain comprehensive technical documentation.<br>• Excellent communication and interpersonal skills.<br>• Strong analytical and problem-solving abilities.<br>• Willingness to learn and adapt to new technologies and project requirements.<br>• Experience in data analysis is a plus.<br>• Ability to work independently and handle critical situations confidently.<br>• A collaborative, team-oriented mindset.</p>",
    "compensation": null,
    "departmentId": "19079",
    "locationType": "0",
    "seekPromoted": false,
    "jobCategoryId": null,
    "jobOpeningName": "Data Engineer (Azure Platform)",
    "departmentLabel": "Data Services",
    "jobOpeningStatus": "Open",
    "minimumExperience": "Experienced",
    "jobOpeningShareUrl": "https://algomus.bamboohr.com/careers/239",
    "employmentStatusLabel": "Full-Time - Pakistan"
  }
}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/ec635c2654cb779f83e7cd3d7265b285c59c8ccc?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/4b0e4875-486e-4c4a-8253-def5c7f814eaJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/0ba6f895-f36d-439c-b089-5f0f8776525cJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/ec635c2654cb779f83e7cd3d7265b285c59c8ccc/eventsJSON