Senior Data Engineer

ProSource; Makati; Híbrido; PHP 1 200 000 - 1 800 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

HMO coverage from Day 1 + 2 dependents

Hybrid work setup (3x in office)

Resumo da oferta

ProSource is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and data solutions. The role focuses on data architecture, modeling, integration, migration, and governance to ensure data quality, security, and reliable business reporting.

The ideal candidate will lead data initiatives, advise on architecture and data models, and implement robust data management capabilities across cloud and on-prem environments.

Qualificações

• Extensive experience building end-to-end data pipelines in cloud or on-prem environments.
• Proficiency in SQL, Python, PySpark for data ingestion and transformation.
• Knowledge of data warehousing, modeling, integration, governance.
• Experience with cloud data platforms such as Fabric, Databricks, Synapse Analytics, Snowflake, or Redshift.
• Experience in data migration, data quality, metadata management, and master data management.
• Strong CI/CD, automation, monitoring, data security, access controls, and privacy.

Responsabilidades

• Development of end to end data pipelines.
• Advising on data architecture, data models, data migration, integration and pipelines and data analysis and visualization.
• Implementing solutions for data management capabilities including data models and structures, database and data storage infrastructure, master and metadata management, data quality, data integration, data warehousing, data transformation, data analysis and data governance.
• Development and execution of Data migrations.

Conhecimentos

Analytical thinking

Problem solving

Commercial awareness

Technical leadership

Communication skills

Ferramentas

SQL

Python

PySpark

Descrição da oferta de emprego

At ProSource, we build and manage highly technical distributed teams for some of the most innovative companies in the world. We believe in humanizing the outsourcing industry by finding, attracting, and retaining top talent. Our dynamic workspaces promote creativity, collaboration, and well-being. We leverage smart technologies to ensure our clients and employees thrive in a collaborative, high-performing environment.

Role Overview:

We are looking for an experienced Senior Data Engineer to design, develop, and maintain end-to-end data pipelines and scalable data solutions. The role involves data architecture, modeling, integration, migration, and governance, ensuring data quality, security, and reliability while supporting business reporting and analytics.

Key Responsibilities:

• Development of end to end data pipelines
• Advising on data architecture, data models, data migration, integration and pipelines and data analysis and visualization
• Implementing solutions for the establishment of data management capabilities including data models and structures, database and data storage infrastructure, master and metadata management, data quality, data integration, data warehousing, data transformation, data analysis and data governance
• Development and execution of Data migrations

Qualifications:

• Strong analytical, problem-solving, commercial, and technical leadership skills.
• Extensive experience building and supporting end-to-end data pipelines in cloud or on-premises environments.
• Strong hands‑on skills in SQL, Python, and PySpark for scalable data ingestion and transformation.
• Solid knowledge of data architecture, warehousing, modeling, integration, optimization, and governance.
• Experience with cloud data platforms such as Microsoft Fabric, Databricks, Synapse Analytics, Snowflake, or Redshift.
• Experience in data migration, data quality, metadata management, and master data management.
• Knowledge of CI/CD, automation, monitoring, data security, access controls, and privacy.
• Experience supporting production data platforms and critical reporting infrastructure.
• Excellent communication and collaboration skills with technical teams and business stakeholders.

Schedule:

• Monday to Friday, 7am to 4pm PHT

What's in it for you?

• HMO coverage from Day 1 + 2 free dependents upon regularization
• Enjoy a hybrid work setup with all the tools you need (3x a week in the office)
• Full-time role with excellent perks and benefits