Data Engineer: Cloud, ETL & Big Data Pipelines

Beyond; Taguig; Hybrid; PHP 600,000 - 1,000,000; Full time

Benefits offered by this job

De Minimis Allowance

13th Month Pay

HMO Health Insurance

Sick Leave 15 paid days

Job summary

Beyond is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure for large data sets. The role involves working on-site for collaboration, with a flexible hybrid model and time spent at offices or client locations.

You will work on cloud-based data processing, data governance, and analytics, collaborating with data scientists and analysts to optimise data models and ensure availability and performance.

Qualifications

• Experience with cloud platforms such as AWS or GCP.
• Proficiency in SQL and relational databases.
• Experience with Hadoop, Spark, or Hive.
• Familiarity with data warehousing and ETL tools such as Redshift/BigQuery/Airflow.
• Proficiency in Python, Java, or Scala.
• Strong analytical and problem-solving skills.

Responsibilities

• Design, build, and maintain data pipelines in Google Cloud.
• Ensure data quality, accuracy, and completeness.
• Collaborate with data scientists to design and optimise data models for analytics.

Skills

SQL

Python

Big data

ETL

Cloud platforms

Tools

Google BigQuery

Airflow

Hadoop

Spark

MySQL

Job description

Beyond is seeking a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure for large data sets. The role involves working on-site for collaboration, with a flexible hybrid model and time spent at offices or client locations.

You will work on cloud-based data processing, data governance, and analytics, collaborating with data scientists and analysts to optimise data models and ensure availability and performance.