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Remote Data Engineer: Build Scalable Pipelines

Jobgether

Remote

IDR 300.000.000 - 400.000.000

Full time

Today
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Job summary

A leading recruitment platform seeks a Mid-Level Data Engineer to shape data strategies and implement robust data pipelines in a remote setting. Candidates should have 8-12 years of experience in data engineering, with expertise in data pipeline design, REST APIs, and AWS services. The role offers opportunities for professional development, flexible working arrangements, and a competitive salary package. Join the team to drive innovative data solutions and enhance organizational efficiency.

Benefits

Flexible remote working arrangements
Professional development opportunities
Collaborative and innovative team environment
Competitive salary and benefits package
Access to cutting-edge technology and tools
Work-life balance support

Qualifications

  • 8-12 years of experience in data engineering or related field.
  • Strong experience with data pipelines and data curation.
  • Familiarity with banking or lending domains is mandatory.

Responsibilities

  • Design and implement data pipelines and workflows.
  • Develop and maintain data models for optimal data storage.
  • Collaborate with cross-functional teams to gather data requirements.
  • Monitor and optimize data processing jobs and workflows.
  • Ensure data quality and integrity through comprehensive testing.
  • Work with cloud technologies to manage data solutions.

Skills

Data pipelines design
Data curation
REST APIs
RDS
Spark
Glue
AWS S3
AWS EMR
AWS CloudWatch
Terraform
nodeJS
Job description
A leading recruitment platform seeks a Mid-Level Data Engineer to shape data strategies and implement robust data pipelines in a remote setting. Candidates should have 8-12 years of experience in data engineering, with expertise in data pipeline design, REST APIs, and AWS services. The role offers opportunities for professional development, flexible working arrangements, and a competitive salary package. Join the team to drive innovative data solutions and enhance organizational efficiency.
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