Data Engineer-Data Platforms - Japanese Bilingual

IBM; Cebu City; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

IBM Consulting in the Philippines is seeking a Data Engineer specializing in data platforms on AWS. You will advise on, develop, and maintain data pipelines and data layers across batch and real-time processes within the AWS ecosystem.

You'll work with AWS services such as EMR, Glue, Kinesis, RedShift, and DynamoDB, contributing to data warehouse and data lake initiatives while leveraging open source tools like Apache Airflow and dbt to deliver reliable data engineering solutions.

Qualifications

• Experience designing and operating batch and real-time data pipelines on AWS.
• Proficiency with AWS services including EMR, Glue, Kinesis, and data migration with DMS.
• Experience creating data layers using RedShift, Aurora, and DynamoDB.
• Familiarity with open source tools like Airflow and dbt to support data engineering.
• Ability to schedule and manage data services on AWS for integrated solutions.

Responsibilities

• Design, build, and operate batch and real-time data pipelines on AWS.
• Create data layers on RedShift, Aurora, and DynamoDB and migrate data with DMS.
• Develop pipelines for Data Warehouse and Data Lake using Kinesis and Kafka.
• Manage data services on AWS to ensure seamless integration and operation.
• Apply open source technologies such as Airflow and dbt to support data engineering solutions.

Skills

Data pipelines

AWS services

Python/Spark

Open source

Education

Bachelor's Degree

Tools

AWS EMR

AWS Glue

Glue Catalog

Kinesis

RedShift

Aurora

DynamoDB

DMS

Airflow

dbt

Spark

Python

Scala

Job description

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

As a Data Engineer specializing in Data Platforms on AWS, you will advise on, develop, and maintain data engineering solutions on the AWS Cloud ecosystem. You will design, build, and operate batch and real‑time data pipelines using various AWS services.

Your Primary Responsibilities Will Include

• Design and develop data pipelines: design, build, and operate batch and real‑time data pipelines using AWS services such as AWS EMR, AWS Glue, Glue Catalog, and Kinesis, ensuring seamless integration and operation of data engineering solutions.
• Create data layers: create data layers on AWS RedShift, Aurora, and DynamoDB, and migrate data using AWS DMS.
• Develop batch and real‑time pipelines: develop batch and real‑time data pipelines for Data Warehouse and Datalake, utilizing AWS Kinesis and Managed Streaming for Apache Kafka.
• Manage data services: schedule and manage data services on the AWS platform, ensuring seamless integration and operation of data engineering solutions.
• Apply open source technologies: utilize open source technologies like Apache Airflow and dbt, Spark / Python or Spark / Scala on the AWS platform to support data engineering solutions.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Exposure to AWS toolset: experience working with AWS services such as AWS EMR, AWS Glue, Glue Catalog, and Kinesis to design, build, and operate batch and real‑time data pipelines.
• Data pipeline development: exposure to developing batch and real‑time data pipelines for Data Warehouse and Datalake, utilizing AWS Kinesis and Managed Streaming for Apache Kafka.
• Data layer creation: experience working with AWS RedShift, Aurora, and DynamoDB to create data layers and migrate data using AWS DMS.
• Open source technologies: exposure to utilizing open source technologies like Apache Airflow and dbt, Spark / Python or Spark / Scala on AWS platform to support data engineering solutions.
• Data service management: experience working with scheduling and managing data services on the AWS platform to ensure seamless integration and operation of data engineering solutions.

Preferred Technical And Professional Experience

• Proficiency with AWS Databrew: experience working with AWS Glue Databrew to support data engineering solutions, including data preparation and data quality.
• Knowledge of Lambda functions: exposure to using Lambda functions with Python to support data engineering solutions, including data processing and data integration.
• Familiarity with RedShift Spectrum: experience working with RedShift Spectrum to support data engineering solutions, including data warehousing and data analytics.