Senior AWS Data Engineer

Jobgether; Remote; MYR 120,000 - 150,000; Full time

Job summary

A tech recruitment partner is seeking a Senior AWS Data Engineer for a remote position in Malaysia. The successful candidate will design and optimize data pipelines, ensuring a robust infrastructure for ingesting and processing large datasets. This role involves collaboration across time zones and requires 6-9 years of data engineering experience along with skills in AWS data services and data storage technologies. Flexible working conditions and professional growth opportunities are offered in this dynamic environment.

Benefits

Flexible remote working environment

Opportunities for professional development

Collaborative team atmosphere

Access to cutting-edge technologies

Generous vacation policy

Qualifications

• 6-9 years of experience in Data Engineering.
• Proficiency in data storage technologies: Amazon S3, SQL, and NoSQL.
• Hands-on experience with AWS data services like Glue and Lambda.

Responsibilities

• Create and maintain optimal data pipeline architecture for data ingestion and processing.
• Develop infrastructure for ETL jobs using S3, Snowflake, and AWS data services.
• Optimize data pipelines for performance and cost-effectiveness using AWS Glue and PySpark.

Skills

Data Engineering

AWS Services

SQL

NoSQL

Communication

Tools

AWS Glue

Amazon S3

Snowflake

PySpark

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AWS Data Engineer - REMOTE. In this role, you will play a pivotal part in designing and optimizing data pipelines that support the ingestion and processing of large data sets. You'll work with various data sources and AWS services, ensuring a robust infrastructure that enhances data accessibility across the organization. Collaborating with stakeholders in different time zones, you will drive projects that improve data governance and quality. Your contributions will be crucial in establishing data models and supporting analytics that drive business decisions.

Accountabilities

• Create and maintain optimal data pipeline architecture for data ingestion and processing.
• Develop infrastructure for ETL jobs using S3, Snowflake, and AWS data services.
• Optimize data pipelines for performance and cost-effectiveness using AWS Glue and PySpark.
• Collaborate with stakeholders across multiple time zones to align on data needs.
• Implement data modeling best practices and technical awareness.
• Support data quality and governance initiatives.
• Utilize strong analytical skills to define problems and propose solutions.

Requirements

• 6-9 years of experience in Data Engineering.
• Proficiency in data storage technologies: Amazon S3, SQL, and NoSQL.
• Hands-on experience with AWS data services like Glue and Lambda.
• Ability to write complex SQL queries.
• Strong communication skills and a team player.
• Familiarity with Big Data technologies is a plus.
• Relevant experience in payments domain knowledge (CRM, Accounting) preferred.

Benefits

• Flexible remote working environment.
• Opportunities for professional development and continuous learning.
• Collaborative and dynamic team atmosphere.
• Access to cutting-edge technologies and tools.
• Generous vacation and personal days policy.

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.

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