Chief Data Architect

1 day ago

Mandaluyong City, National Capital Region, Philippines beBeeDataEngineer Full time ₱900,000 - ₱1,200,000
Job Overview

A leading software development company is seeking a skilled Data Engineer to join its team.

The successful candidate will be responsible for developing and delivering data engineering solutions using Azure Data Factory, Python, SSIS, and related tools.

With a strong background in data engineering, the ideal candidate will have experience with Cloud ETL (AWS Glue, GCP Cloud Data Fusion/Flow) and Python programming skills in data analytics/big data.

They will also possess cloud data engineering skills in Azure (preferred), AWS, and/or GCP, as well as experience in enterprise environments with Data Warehouse/Data Lake/Data Lakehouse.

Additionally, the candidate should have worked on at least 2 enterprise-scale projects as a Data Engineer and have good communication and writing skills.

Responsibilities:

  • Develop data engineering requirements using Azure Data Factory, Python, SSIS, and related tools.
  • Solution and deliver data lake and data warehouse related solutions.
  • Provide ad-hoc data requirements and build simple dashboards.
  • Support and maintain pipelines, queries, stored procedures, and reports.
  • Collaborate with teams to deliver solutions.
  • Develop reports and simple dashboards in Power BI.
  • Create and update documents such as ERD, technical and business requirements, and mapping documents.
Qualifications
  • Must have at least 4-7 years of relevant experience in data engineering.
  • Development in Azure Data Factory is a priority; experience with Cloud ETL (AWS Glue, GCP Cloud Data Fusion/Flow) is also considered.
  • Python programming skills in data analytics/big data are a must.
  • Cloud data engineering skills in Azure (preferred), AWS, and/or GCP are a must.
  • Experience in enterprise environments with Data Warehouse/Data Lake/Data Lakehouse is required.
  • Modern data architecture and data modeling experience.
  • Worked on at least 2 enterprise-scale projects as a Data Engineer.
  • Power BI or knowledge of BI tools is a must.
  • Good communication and writing skills; ability to manage stakeholders.
  • Independent worker with minimal supervision.
  • Machine Learning/AI understanding is a plus.
Benefits
  • Free training to advance technical and non-technical skills.
  • Challenging projects across MedTech, Industry, Finance, and Transportation.
  • Supportive environment and opportunities for recognition and advancement.
  • Open communication and transparent culture.
Flexibility
  • Hybrid work setup combining remote and in-person work.

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