Remote Mid-Level Data Architect

Jobgether; Remote; MYR 200,000 - 250,000; Full time

Job summary

A partner company is seeking a Mid-Level Data Engineer to work remotely. You will design and implement robust data pipelines, ensuring data integrity while collaborating with cross-functional teams. The ideal candidate will have 8-12 years of experience in data engineering, proficiency with REST APIs, and experience in banking or lending domains. You will benefit from flexible working arrangements and contribute to a collaborative team environment.

Benefits

Flexible remote working arrangements

Opportunity for professional development and growth

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.
• Experience in 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

Data curation

REST APIs

RDS

Spark

Glue

AWS services

Terraform

nodeJS

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Mid-Level Data Engineer - REMOTE. In this role, you will be instrumental in shaping data strategies and implementing robust data pipelines. You will work closely with various teams to ensure data integrity and facilitate better decision-making within the organization. Your expertise will contribute directly to optimizing processes and enhancing the overall data architecture. This is an exciting opportunity to leverage your skills in a dynamic, remote work environment. Join us to drive impactful data solutions.

Accountabilities

• 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.

Requirements

• 8-12 years of experience in data engineering or related field.
• Strong experience with data pipelines and data curation.
• Proficient in REST APIs, RDS, Spark, and Glue.
• Familiarity with AWS services like S3, EMR, and CloudWatch.
• Knowledge of Terraform and nodeJS is a plus.
• Experience in banking or lending domains is mandatory.

Benefits

• Flexible remote working arrangements.
• Opportunity for professional development and growth.
• Collaborative and innovative team environment.
• Competitive salary and benefits package.
• Access to cutting-edge technology and tools.
• Work-life balance support.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.