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In office (Quezon City)
Employment
Full-Time
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IBM

IBM, formally known as International Business Machines Corporation, is an American multinational technology giant headquartered in Armonk, New York. Nicknamed "Big Blue," IBM is one of the world's oldest and most historically significant IT companies. Today, IBM focuses primarily on hybrid cloud infrastructure, enterprise artificial intelligence, and business consulting services.

As a Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.

Your primary responsibilities include:

* Strategic Data Model Design and ETL Optimization: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements.

* Robust Data Infrastructure Management: Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization.

* Seamless Data Accessibility and Security Coordination: Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too.

Company Info

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Working Hours

Typical working hours are from 7:00 to 16:00, but may vary depending on the client.

Job Requirements

[Required education]

Associate's Degree/College Diploma

[Required technical and professional expertise]

- Proficient with AWS Data Platform components for Data Lakehouse - AWS S3, RedShift, RedShift Spectrum, AWS Glue with Spark, AWS Glue with Python, Lambda functions with Python, AWS Glue Catalog and AWS Glue Databrew, Dynamo DB, Aurora

- Proficient with AWS Kinesis and Managed Streaming for Apache Kafka

- Proficient with using other open source technologies like Apache Airflow and dbt, Spark / Python or Spark / Scala on AWS Platform

- Experience in developing batch and real time data pipelines for Data Warehouse and Datalake

- Experience in using DataBricks services on AWS platform and in Scheduling and managing the data services on AWS Platform

- Proficient in Japanese Language(N1-N3) - reading, writing, speaking, listening.

- Amenable to work on a client-based schedule (dayshift, mid-shift, night-shift) and in any IBM location in Quezon City (UP Ayala Technohub) or Cebu.

English Level

Business Conversation Level (TOEIC 735-860)

Japanese Level

Business Level(JLPT Level 2 or N2)

Salary

Depends on experience

Other Salary Description

Health Maintenance Organization (HMO) / Health Insurance

Relaxation Facilities

Employee Stock Purchase System

Education/ Training

Holidays

Five-Day Workweek

Sick Leave

Vacation Leave

Job Contract Period

Full time position

Nearest Station

Cebu and QUEZON CITY

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