Senior Data Engineer

Vertere Global Solutions, Inc.; Makati; On-site; PHP 1,800,000 - 2,400,000; Full time

Job summary

Vertere Global Solutions, Inc. is seeking a Senior Data Engineer to lead design, development, and optimization of enterprise data pipelines in a cloud data lakehouse.

The role emphasizes Snowflake, ETL/ELT, complex SQL, and Medallion Architecture across Bronze, Silver, and Gold layers. You will build scalable batch and near real-time pipelines, ensure data quality, governance, and performance, and support analytics, reporting, and advanced use cases.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field.
• 5+ years of hands-on Data Engineering experience in enterprise environments.
• Minimum 2 years with Snowflake including data loading, transformation, optimization.
• Hands-on with Lakehouse Architecture (Bronze, Silver, Gold).
• Strong ETL/ELT and data transformation, cleansing, validation, enrichment, optimization.
• Strong SQL with performance tuning and query optimization.
• Experience with dimensional modeling and Star Schema.
• Experience in batch and near real-time data pipelines.
• Hands-on with Azure and Snowflake cloud platforms.
• Excellent communication and ability to translate requirements into designs.

Responsibilities

• Lead end-to-end delivery of complex data engineering and analytics solutions.
• Design, develop, and optimize batch and near real-time data pipelines.
• Implement Lakehouse Architecture with Bronze, Silver, Gold layers.
• Develop ETL/ELT and data transformation processes and rules.
• Design analytical data models including dimensional modeling.
• Develop and optimize complex SQL queries and workloads.
• Collaborate with stakeholders to translate requirements into designs and plans.
• Perform code and design reviews to ensure quality and maintainability.

Skills

ETL/ELT design

SQL proficiency

Snowflake expertise

Lakehouse architecture

Data governance

Batch pipelines

Communication skills

Education

Bachelor's degree in CS/Engineering/Math/Stats

Tools

Snowflake

Azure

ETL Tools

Job description

We are looking for a Senior Data Engineer to lead the design, development, and optimization of enterprise data pipelines and analytical data solutions within a modern cloud data lakehouse environment.

The role requires strong hands-on experience in Snowflake, ETL/ELT, complex SQL, data transformation, and Medallion Architecture (Bronze, Silver, and Gold).

The successful candidate will build scalable batch and near real-time data pipelines, ensure data quality and governance, optimize data workloads, and support analytics, reporting, and advanced data use cases.

Key responsibilities

• Lead the end-to-end technical delivery of complex data engineering and analytics solutions, ensuring scalability, reliability, and alignment with business requirements.

• Design, develop, and optimize batch and near real-time data pipelines supporting enterprise reporting, BI, and advanced analytics.

• Design and implement data solutions using Lakehouse/Medallion Architecture, including Bronze, Silver, and Gold data layers.

• Develop and optimize ETL/ELT and data transformation processes, including data ingestion, cleansing, validation, enrichment, and transformation logic.

• Design and maintain analytical data models, including dimensional modeling and Star Schema.

• Develop and optimize complex SQL queries and data processing workloads for performance and scalability.

• Work with Snowflake and cloud data platforms to build, optimize, and troubleshoot data solutions.

• Assess source systems and data quality, implementing appropriate data validation, controls, and transformation rules.

• Partner with business and technical stakeholders to translate requirements into technical designs, estimates, and delivery plans.

• Conduct code and design reviews to ensure maintainability, quality, performance, and adherence to engineering standards.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.

• 5+ years of hands-on experience in Data Engineering, preferably in an enterprise environment.

• Minimum 2 years of hands-on experience with Snowflake, including data loading, transformation, optimization, and troubleshooting.

• Hands-on experience with Lakehouse/Medallion Architecture, specifically Bronze, Silver, and Gold data layers/zones.

• Strong hands-on experience in ETL/ELT and data transformation, including data cleansing, validation, enrichment, transformation logic, and optimization.

• Strong proficiency in complex SQL, including query optimization and performance tuning.

• Experience with dimensional data modeling and Star Schema.

• Experience developing and supporting batch and near real-time data pipelines.

• Hands-on experience with cloud-based data platforms, preferably Azure and Snowflake.

• Strong communication and presentation skills, with the ability to translate business requirements into technical solutions.