Data Engineer: Spark, SQL & Airflow on AWS

DysrupIT; Makati; On-site; PHP 600,000 - 900,000; Full time

Job summary

DysrupIT is seeking a data engineer to collaborate with data architects and independently analyze and model data. You will implement scalable data pipelines, ensure data quality, and support end-to-end data flows across multiple systems.

The role requires strong SQL, data preparation and integration skills, and experience with Spark, Python, Airflow and cloud services. You will work in an Agile setting to drive insights and governance across data assets.

Qualifications

• Experience collaborating with data architects or data modellers to analyze and model data.
• Proficient in manipulating data and drawing insights from large datasets using SQL.
• Strong in data preparation, integration, and designing data models with performance tuning.
• Ability to perform downstream analysis and understand end-to-end data flow across systems.
• Experience delivering projects in Agile environments.
• 3–4 years hands-on SQL experience recommended.
• Familiarity with data governance and quality control frameworks.

Skills

Data analysis

Data modelling

SQL

Data integration

Agile delivery

Root cause analysis

Data governance

Tools

Spark

Python

Airflow

Presto/Trino

AWS (EC2/S3/IAM/EKS/RDS)

Linux

CI/CD

DevOps

Data Warehousing/ETL

Job description

DysrupIT is seeking a data engineer to collaborate with data architects and independently analyze and model data. You will implement scalable data pipelines, ensure data quality, and support end-to-end data flows across multiple systems.

The role requires strong SQL, data preparation and integration skills, and experience with Spark, Python, Airflow and cloud services. You will work in an Agile setting to drive insights and governance across data assets.