Data Engineer

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

Experience & Competencies

• Previously worked closely with data architect or data modellers, can independently work on data analysis, data modelling.
• Proficient in manipulating data and drawing insights from large data sets using SQL
• Highly proficient in data preparation and integration, able to design, develop and modify data models and troubleshoot performance issues.
• Good in doing downstream analysis and understanding end to end data flow when multiple systems are involved.
• Experienced with working on Agile delivery.
• Expected to have strong at least 3 to 4 years of hands‑on experience in SQL.
• Familiarity with data governance, data quality and control frameworks would certainly be useful in this role.
• Able to creatively use data and insights to uncover new opportunities, identify root causes and underlying risks to recommend solutions to the business.

Technical Skills

• Advanced data engineering skills with strong experience using Spark, SQL, Python and Airflow
• Strong knowledge of big data querying tools such as Presto or Trino.
• Experience in data architecture principles, including data access patterns and data modelling.
• Experience with data quality measurement and monitoring
• Experience with metadata, including control totals and check sums for load assurance.
• Comfortable taking ownership of issues and driving resolution.
• Familiar with cloud computing concepts (AWS) including any or all of EC2, S3, IAM, EKS and RDS and Linux
• Good understanding of Data Warehousing/ETL concepts
• Experience with CI/CD tools
• Experienced with DevOps approaches