Senior AWS Data Engineer — Remote

Jobgether; Remote; IDR 200.000.000 - 300.000.000; Full time

Job summary

An innovative tech recruitment platform is looking for a Senior AWS Data Engineer to design and optimize data pipelines for large data sets in a remote work environment. The ideal candidate should have 6-9 years of data engineering experience, strong proficiency in AWS services, and excellent analytical skills. Responsibilities include creating optimal data architecture, collaborating with stakeholders across time zones, and implementing data governance practices, while enjoying a flexible working atmosphere and professional development opportunities.

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.
• 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 preferred.

Responsibilities

• Create and maintain optimal data pipeline architecture for data ingestion and processing.
• Develop ETL infrastructure using S3, Snowflake, and AWS data services.
• Optimize data pipelines for performance and cost-effectiveness using AWS Glue and PySpark.
• Collaborate with stakeholders to align on data needs.
• Implement data modeling best practices.

Skills

Data Engineering

AWS services

Data storage technologies

SQL

NoSQL

Analytical skills

Team collaboration

Tools

AWS Glue

AWS Lambda

Snowflake

Job description

An innovative tech recruitment platform is looking for a Senior AWS Data Engineer to design and optimize data pipelines for large data sets in a remote work environment. The ideal candidate should have 6-9 years of data engineering experience, strong proficiency in AWS services, and excellent analytical skills. Responsibilities include creating optimal data architecture, collaborating with stakeholders across time zones, and implementing data governance practices, while enjoying a flexible working atmosphere and professional development opportunities.