Senior Data Engineer (Hybrid) — Azure ETL & Data Warehouse

Dencom Consultancy And Manpower Services; Philippines; Hybrid; PHP 900,000 - 1,300,000; Full time

Benefits offered by this job

Commission

Performance Bonus

Paid Holidays

Open Workspace

Job Training

Job summary

Dencom Consultancy and Manpower Services in Makati seeks an experienced data engineer to design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse.

You will develop and optimize data models and data warehouses in Azure Data Lake and Azure Blob Storage, ensure data quality and performance, and collaborate with analytics and business teams to translate data requirements into effective technical solutions.

Qualifications

• Experience designing and building ETL/ELT pipelines in cloud data platforms.
• Strong knowledge of Azure data services and data modeling.
• Ability to translate data requirements into scalable technical solutions.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse.
• Develop and optimize data models and data warehouses in Azure Data Lake and Azure Blob Storage.
• Ensure data quality, reliability, and performance across data integration processes.
• Collaborate with analytics and business teams to translate data requirements into technical solutions.
• Monitor, troubleshoot, and enhance data workflows to improve processing efficiency and system performance.

Skills

ETL/ELT pipelines

Data modeling

Data warehousing

Data quality

Performance tuning

Cross-team collaboration

Tools

Azure Data Factory

Databricks

Synapse

Azure Data Lake

Azure Blob Storage

Job description

Dencom Consultancy and Manpower Services in Makati seeks an experienced data engineer to design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse.

You will develop and optimize data models and data warehouses in Azure Data Lake and Azure Blob Storage, ensure data quality and performance, and collaborate with analytics and business teams to translate data requirements into effective technical solutions.