Data Engineer

Nezda Technologies, Inc.; Muntinlupa; On-site; PHP 1,800,000 - 2,600,000; Full time

Job summary

Nezda Technologies, Inc. is seeking an experienced Senior Data Engineer in Metro Manila to design data models, build ETL pipelines, and develop BI dashboards.

You will collaborate with business and tech teams to deliver insights, mentor junior staff, and drive data governance across cloud and hybrid environments. Strong background in Python, SQL, PySpark, and Power BI is required.

Qualifications

• Bachelor’s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, or related).
• 5+ years in cloud data engineering and analytics.
• Multiple full life-cycle data warehouse implementations.
• 2+ years in data analytics, with scripting and BI visualization experience.

Responsibilities

• Data architecture & engineering – Design and implement logical/physical data models, build data marts, and manage ETL pipelines across cloud and hybrid environments.
• Business intelligence – Develop dashboards, reports, and KPIs using Power BI, Synapse, and other visualization tools to deliver meaningful business insights.
• Innovation – Apply open-source and cloud technologies to mine complex datasets, automate workflows, and build self-service frameworks.
• Data management & governance – Ensure data quality, lineage, and metadata standards; manage security and access governance.
• Collaboration – Partner with business and tech teams to align solutions with strategic goals, while mentoring junior engineers and analysts.

Skills

Python

SQL

PySpark

Power BI

semantic modeling

dashboard development

Cloud architecture

API development

Agile/Lean/Six Sigma

Education

Bachelor’s degree in a quantitative field

Tools

AWS Services

Azure Data Factory

Synapse

Data modeling tools (ER/Studio, ER/Win)

Microsoft Fabric

Cosmos DB

Azure Databricks

Glue

S3

Athena

Redshift

Job description

Key Responsibilities

• Data architecture & engineering – Design and implement logical/physical data models, build data marts, and manage ETL pipelines across cloud and hybrid environments.

• Business intelligence – Develop dashboards, reports, and KPIs using Power BI, Synapse, and other visualization tools to deliver meaningful business insights.

• Innovation – Apply open‑source and cloud technologies to mine complex datasets, automate workflows, and build self‑service frameworks.

• Data management & governance – Ensure data quality, lineage, and metadata standards; manage security and access governance.

• Collaboration – Partner with business and tech teams to align solutions with strategic goals, while mentoring junior engineers and analysts.

Required Qualifications

• Education: Bachelor’s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, or related).

• Experience:

  • 5+ years in cloud data engineering and analytics.

  • Multiple full life‑cycle data warehouse implementations.

  • 2+ years in data analytics, with scripting and BI visualization experience.

• Technical Skills:

  • Python, SQL, PySpark.

  • AWS Services, Azure Data Factory, Synapse,

  • Power BI, semantic modeling, dashboard development.

  • Data modeling tools (ER/Studio, ER/Win).

  • Cloud architecture competency and API development.

  • Familiarity with AWS services (Glue, S3, Athena, Redshift)

  • Exposure to Microsoft Fabric, Cosmos DB, Azure Databricks.

  • Knowledge of Agile, Lean, or Six Sigma methodologies.

  • Experience with data governance and quality tools (e.g., Informatica DQ).