Data Engineer - Japanese Bilingual

IBM · PH Quezon City

Company

IBM

Location

PH Quezon City

Type

Full Time

Job Description

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

Your Role and Responsibilities
Develops applications on Big Data and Cognitive technologies including API development. Expected to have traditional Application Development background along with knowledge of Analytics libraries open-source Natural Language Processing statistical and big data computing libraries. Strong technical abilities to understand design write and debug complex code. Skills include Python Spark Kafka IBM BigInsights Hadoop NoSQL HBase HIVE PIG C++ SQL Linux Java EAI SOA CEP HDFS ETL

PHJP2024


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
  • Experience in Scheduling and managing the data services on AWS Platform
  • Amenable to work on a client-based schedule (dayshift mid-shift night-shift) and in any IBM location in Quezon City (Eastwood and/or UP Ayala Technohub) or Cebu .


Preferred Technical and Professional Expertise

  • JLPT N1-N3 certification is preferred
  • Experience in Big Data tools such as Python Hadoop Hive or Spark
  • Proven background in SQL Unix/Linux and ETL process
Apply Now

Date Posted

08/22/2024

Views

3

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