bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesGogovanData Engineer / Senior Data Engineer

Data Engineer / Senior Data Engineer

Gogovan · Active · JazzHR / ApplyToJob

Job facts

FieldValue
CompanyGogovan
TitleData Engineer / Senior Data Engineer
Normalized title-
Department / team-
Location-
Work model-
Employment type-
Salary-
Statusactive
ATS providerJazzHR / ApplyToJob
Posted / first seen / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-22

Related slices

PageWhat it containsOpen
Company jobsActive postings from Gogovan.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through JazzHR / ApplyToJob.Open
Provider filtered searchThe same provider as a filtered job collection.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

CompanyGogovan
Source8fc85f2c-a117-447e-b92e-6c7a96359b34
ATS providerJazzHR / ApplyToJob

Description

We are seeking a highly motivated and experienced Data Engineer to join our technology team in Hong Kong. In this critical role, you will be responsible for building, optimizing, and maintaining our enterprise-level data infrastructure, spanning both streaming and batch processing. You will leverage Python to solve complex engineering challenges, working closely with Data Scientists and Product Analysts to ensure data accessibility and reliability for our product applications and business intelligence needs. The ideal candidate possesses strong proficiency in Python, expert knowledge of SQL and data orchestration tools, and a passion for operational excellence using DataOps and MLOps principles. What You'll Deliver Build/Maintain/Optimize robust ETL jobs and high-throughput pipelines for both streaming and batch data processing. Help to conquer complex engineering problems encountered within the data science and analytics domain. Develop and productionize data-driven product applications and API services in close collaboration with data scientists and analysts. Design and manage data schemas and structures across various database systems to ensure performance and integrity. Utilize and maintain modern orchestration tools (like Airflow) to manage complex data workflows. Implement containerization (Kubernetes) for deploying and scaling data services reliably. Promote and implement DataOps and foundational MLOps practices for automated deployment and monitoring of data services. Ensure data quality, governance, and security across all managed pipelines and platforms. Participate in code reviews and advocate for engineering best practices. Troubleshoot and resolve performance issues within the data platform and pipelines. Who You Are Proven professional experience as a Data Engineer or a similar role focused on data infrastructure. Expert-level proficiency in SQL and deep experience working with various databases (relational, NoSQL). Strong programming background and proficiency exclusively in Python. Hands-on experience with workflow orchestration tools, specifically Apache Airflow . Familiarity with containerization and orchestration technologies like Kubernetes . Experience in designing, implementing, and optimizing large-scale ETL pipelines (batch and streaming). Excellent communication skills in English and Cantonese (written and verbal), with the ability to collaborate effectively in a team environment in Hong Kong. Strong problem-solving, debugging, and analytical skills. Ability to write clean, maintainable, and well-documented code. What We Offer A diverse, multi-cultural team that values collaboration and innovation. Opportunities for continuous learning and professional development in modern data engineering tools. The chance to build the data foundation that powers impactful business decisions. Contribute to the growth of a leading technology-driven logistics platform in Asia. Work on an exciting and high-impact product used by thousands of users. Opportunity to work with cutting-edge technologies and shape data infrastructure. Dynamic and international work environment.

Full job record

Job IDad7c0e63568f25e19e5e6239b649e6af82cb0807
Org IDf7d3f275-9617-4344-8b07-f1d5799d2aa9
Source ID8fc85f2c-a117-447e-b92e-6c7a96359b34
Board ID8fc85f2c-a117-447e-b92e-6c7a96359b34
Providerjazzhr
Provider Job KeyEyuVlmIHdr
TitleData Engineer / Senior Data Engineer
Normalized Title
Statusactive
Activeyes
Location Text
Department
Team
Employment Type
Workplace Type
Remote Policy
Country
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://gogovan.applytojob.com/apply/EyuVlmIHdr/Data-Engineer-Senior-Data-Engineer
Apply URLhttps://gogovan.applytojob.com/apply/EyuVlmIHdr/Data-Engineer-Senior-Data-Engineer
First Seen At2026-05-30 05:59:02Z
Last Seen At2026-06-22 14:37:36Z
Last Checked At2026-06-22 14:37:36Z
Last Changed At2026-05-30 05:59:02Z
Inactive At
Source Posted At
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=jazzhr/board=gogovan/date=2026-06-22/2026-06-22T14-37-34-605Z-6ebed4cfd03a7ce4b4e82c25a8f137cc50514e1e9d56eacf152ed37778e789b6.json
Event Fields
{
  "content_hash": "323d573c292dbf4265ee206790b68003e597d6eb9272944fdbd275d3e20dc26e",
  "source_hash": "f5f2b50f2992e82c3ba220e00916867bb8032c5f7b0525f17f999d3452c2a1ec",
  "last_changed_at": "2026-05-30T05:59:02.943Z",
  "active_status": "active"
}
Parsed Structured
{
  "dedupe": null,
  "language": "en",
  "location": {
    "raw": null,
    "city": null,
    "region": null,
    "country": null,
    "is_remote": false,
    "confidence": null
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-22T14:37:36.880Z",
  "launch_scope": {
    "reason": "jazzhr_production_catalog",
    "included": true,
    "location": {
      "raw": null,
      "city": null,
      "region": null,
      "country": null,
      "is_remote": false,
      "confidence": null
    },
    "countries": []
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "detail": {
    "url": "https://gogovan.applytojob.com/apply/jobs/details/EyuVlmIHdr?&",
    "heading": "Data Engineer / Senior Data Engineer",
    "html_title": "JazzHR » Job Listings",
    "canonical_url": "https://gogovan.applytojob.com/apply/EyuVlmIHdr/Data-Engineer-Senior-Data-Engineer",
    "description_html": "<div class=\"job_description\">\n\t\t\t\t\tWe are seeking a highly motivated and experienced Data Engineer to join our technology team in Hong Kong. In this critical role, you will be responsible for building, optimizing, and maintaining our enterprise-level data infrastructure, spanning both streaming and batch processing. You will leverage Python to solve complex engineering challenges, working closely with Data Scientists and Product Analysts to ensure data accessibility and reliability for our product applications and business intelligence needs. The ideal candidate possesses strong proficiency in Python, expert knowledge of SQL and data orchestration tools, and a passion for operational excellence using DataOps and MLOps principles.<br><br><strong>What You'll Deliver</strong><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Build/Maintain/Optimize</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> robust </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">ETL jobs</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> and high-throughput pipelines for both </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">streaming</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> and </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">batch</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> data processing.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Help to conquer complex </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">engineering problems</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> encountered within the data science and analytics domain.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Develop and productionize </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">data-driven product applications</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> and API services in close collaboration with data scientists and analysts.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Design and manage data schemas and structures across various database systems to ensure performance and integrity.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Utilize and maintain modern orchestration tools (like Airflow) to manage complex data workflows.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Implement containerization (Kubernetes) for deploying and scaling data services reliably.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Promote and implement </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">DataOps</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> and foundational </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">MLOps</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> practices for automated deployment and monitoring of data services.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Ensure data quality, governance, and security across all managed pipelines and platforms.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Participate in code reviews and advocate for engineering best practices.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Troubleshoot and resolve performance issues within the data platform and pipelines.</span></span></span></span></span></span></li></ul><div style=\"list-style-type:disc;\"><strong>Who You Are</strong><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Proven professional experience as a </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Data Engineer</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> or a similar role focused on data infrastructure.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Expert-level proficiency in </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">SQL</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> and deep experience working with various databases (relational, NoSQL).</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Strong programming background and proficiency exclusively in Python.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Hands-on experience with workflow orchestration tools, specifically </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Apache Airflow</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Familiarity with containerization and orchestration technologies like </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Kubernetes</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experience in designing, implementing, and optimizing large-scale ETL pipelines (batch and streaming).</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Excellent communication skills in </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">English</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> and </span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Cantonese</span></span></span></span></span></span><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\"> (written and verbal), with the ability to collaborate effectively in a team environment in Hong Kong.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Strong problem-solving, debugging, and analytical skills.</span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Ability to write clean, maintainable, and well-documented code.</span></span></span></span></span></span></li></ul><div style=\"list-style-type:disc;\"><p><strong>What We Offer</strong></p><ul><li>A diverse, multi-cultural team that values collaboration and innovation.</li><li>Opportunities for continuous learning and professional development in modern data engineering tools.</li><li>The chance to build the data foundation that powers impactful business decisions.</li><li>Contribute to the growth of a leading technology-driven logistics platform in Asia.</li><li>Work on an exciting and high-impact product used by thousands of users.</li><li>Opportunity to work with cutting-edge technologies and shape data infrastructure.</li><li>Dynamic and international work environment.</li></ul>",
    "description_text": "We are seeking a highly motivated and experienced Data Engineer to join our technology team in Hong Kong. In this critical role, you will be responsible for building, optimizing, and maintaining our enterprise-level data infrastructure, spanning both streaming and batch processing. You will leverage Python to solve complex engineering challenges, working closely with Data Scientists and Product Analysts to ensure data accessibility and reliability for our product applications and business intelligence needs. The ideal candidate possesses strong proficiency in Python, expert knowledge of SQL and data orchestration tools, and a passion for operational excellence using DataOps and MLOps principles.\n What You'll Deliver Build/Maintain/Optimize robust ETL jobs and high-throughput pipelines for both streaming and batch data processing.\n Help to conquer complex engineering problems encountered within the data science and analytics domain.\n Develop and productionize data-driven product applications and API services in close collaboration with data scientists and analysts.\n Design and manage data schemas and structures across various database systems to ensure performance and integrity.\n Utilize and maintain modern orchestration tools (like Airflow) to manage complex data workflows.\n Implement containerization (Kubernetes) for deploying and scaling data services reliably.\n Promote and implement DataOps and foundational MLOps practices for automated deployment and monitoring of data services.\n Ensure data quality, governance, and security across all managed pipelines and platforms.\n Participate in code reviews and advocate for engineering best practices.\n Troubleshoot and resolve performance issues within the data platform and pipelines.\n Who You Are Proven professional experience as a Data Engineer or a similar role focused on data infrastructure.\n Expert-level proficiency in SQL and deep experience working with various databases (relational, NoSQL).\n Strong programming background and proficiency exclusively in Python.\n Hands-on experience with workflow orchestration tools, specifically Apache Airflow .\n Familiarity with containerization and orchestration technologies like Kubernetes .\n Experience in designing, implementing, and optimizing large-scale ETL pipelines (batch and streaming).\n Excellent communication skills in English and Cantonese (written and verbal), with the ability to collaborate effectively in a team environment in Hong Kong.\n Strong problem-solving, debugging, and analytical skills.\n Ability to write clean, maintainable, and well-documented code.\n What We Offer\n A diverse, multi-cultural team that values collaboration and innovation.\n Opportunities for continuous learning and professional development in modern data engineering tools.\n The chance to build the data foundation that powers impactful business decisions.\n Contribute to the growth of a leading technology-driven logistics platform in Asia.\n Work on an exciting and high-impact product used by thousands of users.\n Opportunity to work with cutting-edge technologies and shape data infrastructure.\n Dynamic and international work environment.",
    "jsonld_jobposting": null
  },
  "list_job": {
    "id": "EyuVlmIHdr",
    "title": "Data Engineer / Senior Data Engineer",
    "detailUrl": "https://gogovan.applytojob.com/apply/jobs/details/EyuVlmIHdr?&"
  },
  "detail_errors": []
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/ad7c0e63568f25e19e5e6239b649e6af82cb0807?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/f7d3f275-9617-4344-8b07-f1d5799d2aa9JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/8fc85f2c-a117-447e-b92e-6c7a96359b34JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/ad7c0e63568f25e19e5e6239b649e6af82cb0807/eventsJSON