Chưa ghi lương
Senior
5+ YoE
Vietnam
Remote
Full Time
Thiết kế, xây dựng và vận hành giải pháp dữ liệu quy mô lớn trên Azure Databricks Lakehouse cho khách hàng ngành du lịch/hành trình.
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
We’re looking for a Senior Data Engineer to join a long-term project for our client, a global company in the travel and cruise industry. You will design, build and maintain scalable data solutions on the Azure Data Platform with a strong focus on Databricks and Lakehouse architecture, supporting the client's operational, financial, reporting and analytical processes.
This is a senior, hands-on role for an engineer with deep commercial Databricks experience who can work independently, take ownership and deliver results in a fast- moving environment.
● Design, develop and maintain scalable data solutions within the Azure Data Platform ecosystem, including Azure Synapse, Databricks and Data Lakehouse environments.
● Implement and optimize ETL/ELT processes for ingesting, transforming and serving data from multiple business domains.
● Develop and maintain data processing solutions using Python, SQL and Apache Spark.
● Build and maintain Databricks workflows, Delta Live Tables (DLT), metadata- driven frameworks and orchestration processes.
● Support migration and modernization initiatives, including Unity Catalog adoption, platform upgrades and data platform transformations.
● Work closely with Data Architects and platform teams to ensure alignment with enterprise data architecture, Lakehouse principles and governance requirements.
● Ensure data quality, reliability, performance and security across the data platform.
● Troubleshoot production incidents, perform root cause analysis and implement corrective actions.
● Contribute to CI/CD implementation, infrastructure automation, monitoring and operational best practices.
● Optimize data pipelines, storage structures and processing workloads to improve efficiency and reduce costs.
● Collaborate with architects, analysts and business stakeholders to translate business requirements into technical solutions.
● Participate in solution and architecture reviews while promoting engineering standards and governance principles.
● Support reporting, analytics and AI/ML initiatives by providing reliable and scalable data foundations.
● Support knowledge sharing, mentoring and technical development within the team.
● 5+ years of hands-on commercial experience with Databricks.
● Strong skills in Apache Spark, Python and SQL.
● Solid experience with Azure Cloud: Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics and Azure Data Explorer.
● Proven experience in building and maintaining ETL/ELT processes.
● Hands-on experience with Delta Live Tables (DLT) and Unity Catalog.
● Good understanding of Lakehouse architecture.
● Experience with CI/CD and Azure DevOps.
● Experience with infrastructure automation, monitoring and logging.
● Experience with Power BI.
● Strong analytical and problem-solving skills; ability to work independently with a high level of ownership and accountability.
● Strong communication and stakeholder management skills across technical and business teams.
● English: fluent (strong spoken and written communication).
● Able to work in the EU time zone.
● Experience with data platform migration and modernization projects (e.g. Unity Catalog adoption, platform upgrades).
● Experience building metadata-driven frameworks.
● Understanding of data governance, security, compliance and operational excellence.
● Experience supporting reporting, analytics or AI/ML initiatives.
● Experience mentoring other engineers and contributing to architecture reviews.
● Experience working in cross-functional teams and in dynamic environments with frequently changing priorities.
● Comfortable working with a relatively low level of formal processes; able to make pragmatic decisions, propose practical solutions and deliver results despite incomplete requirements.
● Remote 100%, with working hours aligned with the EU time zone.
● Long-term engagement with an international client.
● A dynamic, self-organized environment where flexibility, initiative and ownership are essential.
Đang tải…
Nguồn: careers InApps Technology
Software Development & IT Staff Augmentation in Vietnam
Ho Chi Minh City · Sync · 1 job
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| Job | Địa điểm | Thời gian | Hành động |
|---|---|---|---|
Vietnam | Vietnam |
1 job
1 job
Chưa ghi lương
Senior
5+ YoE
Vietnam
Remote
Full Time
Thiết kế, xây dựng và vận hành giải pháp dữ liệu quy mô lớn trên Azure Databricks Lakehouse cho khách hàng ngành du lịch/hành trình.
Tóm tắt bằng AI từ JD gốc, đọc JD gốc trước khi ứng tuyển.
We’re looking for a Senior Data Engineer to join a long-term project for our client, a global company in the travel and cruise industry. You will design, build and maintain scalable data solutions on the Azure Data Platform with a strong focus on Databricks and Lakehouse architecture, supporting the client's operational, financial, reporting and analytical processes.
This is a senior, hands-on role for an engineer with deep commercial Databricks experience who can work independently, take ownership and deliver results in a fast- moving environment.
● Design, develop and maintain scalable data solutions within the Azure Data Platform ecosystem, including Azure Synapse, Databricks and Data Lakehouse environments.
● Implement and optimize ETL/ELT processes for ingesting, transforming and serving data from multiple business domains.
● Develop and maintain data processing solutions using Python, SQL and Apache Spark.
● Build and maintain Databricks workflows, Delta Live Tables (DLT), metadata- driven frameworks and orchestration processes.
● Support migration and modernization initiatives, including Unity Catalog adoption, platform upgrades and data platform transformations.
● Work closely with Data Architects and platform teams to ensure alignment with enterprise data architecture, Lakehouse principles and governance requirements.
● Ensure data quality, reliability, performance and security across the data platform.
● Troubleshoot production incidents, perform root cause analysis and implement corrective actions.
● Contribute to CI/CD implementation, infrastructure automation, monitoring and operational best practices.
● Optimize data pipelines, storage structures and processing workloads to improve efficiency and reduce costs.
● Collaborate with architects, analysts and business stakeholders to translate business requirements into technical solutions.
● Participate in solution and architecture reviews while promoting engineering standards and governance principles.
● Support reporting, analytics and AI/ML initiatives by providing reliable and scalable data foundations.
● Support knowledge sharing, mentoring and technical development within the team.
● 5+ years of hands-on commercial experience with Databricks.
● Strong skills in Apache Spark, Python and SQL.
● Solid experience with Azure Cloud: Azure Databricks, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics and Azure Data Explorer.
● Proven experience in building and maintaining ETL/ELT processes.
● Hands-on experience with Delta Live Tables (DLT) and Unity Catalog.
● Good understanding of Lakehouse architecture.
● Experience with CI/CD and Azure DevOps.
● Experience with infrastructure automation, monitoring and logging.
● Experience with Power BI.
● Strong analytical and problem-solving skills; ability to work independently with a high level of ownership and accountability.
● Strong communication and stakeholder management skills across technical and business teams.
● English: fluent (strong spoken and written communication).
● Able to work in the EU time zone.
● Experience with data platform migration and modernization projects (e.g. Unity Catalog adoption, platform upgrades).
● Experience building metadata-driven frameworks.
● Understanding of data governance, security, compliance and operational excellence.
● Experience supporting reporting, analytics or AI/ML initiatives.
● Experience mentoring other engineers and contributing to architecture reviews.
● Experience working in cross-functional teams and in dynamic environments with frequently changing priorities.
● Comfortable working with a relatively low level of formal processes; able to make pragmatic decisions, propose practical solutions and deliver results despite incomplete requirements.
● Remote 100%, with working hours aligned with the EU time zone.
● Long-term engagement with an international client.
● A dynamic, self-organized environment where flexibility, initiative and ownership are essential.
Đang tải…
Nguồn: careers InApps Technology
