Senior Data Engineer — Hybrid, Spark & Global Impact

Emapta; Metro Manila; Hybrid; PHP 1,000,000 - 1,400,000; Full time

Benefits offered by this job

Competitive Salary

Day Shift

Hybrid Work

HMO for dependents

Office in Makati

Salary Advances

Emapta Academy

Gym access

Lifestyle perks

Referral incentives

Government benefits

20 leaves per year

Mentorship

Career growth

Diverse culture

Job summary

Emapta is hiring a Data Engineer to design and operate scalable ETL/ELT pipelines, with a focus on Spark-based processing and lakehouse architectures. You will build analytics-ready datasets and collaborate with Analytics, BI, Backend, and Product teams to ensure data quality and availability.

The role requires 3–7+ years in data engineering, strong Python and SQL skills, and experience with modern data platforms. This is a hybrid Makati-based position with opportunities for global impact.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, IT, or a related field.
• 3-7+ years of experience in data engineering or analytics engineering.
• Hands-on experience with ETL/ELT pipelines.
• Experience with Apache Spark for large-scale data processing.
• Background in data warehouses or modern lakehouse platforms.
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud is preferred.

Responsibilities

• Design, develop, and maintain batch and incremental ETL and ELT pipelines.
• Transform raw, semi-structured, and structured data into analytics-ready datasets.
• Build and optimize Spark-based data transformations using PySpark and Spark SQL.
• Apply data modeling best practices to support reporting and BI use cases.
• Manage and maintain data warehouse and lakehouse environments.
• Implement data quality checks, monitoring, and pipeline reliability controls.

Skills

Python

Advanced SQL

Spark PySpark

ETL/ELT design

Data modeling

Lakehouse concepts

Git workflows

Analytical thinking

Education

Bachelor's degree in Computer Science, Data Engineering, IT

Tools

Databricks

Delta Lake

Power BI

Tableau

Node.js

FastAPI

Git

Job description

Emapta is hiring a Data Engineer to design and operate scalable ETL/ELT pipelines, with a focus on Spark-based processing and lakehouse architectures. You will build analytics-ready datasets and collaborate with Analytics, BI, Backend, and Product teams to ensure data quality and availability.

The role requires 3–7+ years in data engineering, strong Python and SQL skills, and experience with modern data platforms. This is a hybrid Makati-based position with opportunities for global impact.