AWS

Trantor; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Trantor is seeking a Data Engineer for an AWS Data Platform. This 100% remote role targets professionals with 5+ years of experience in building robust data pipelines, orchestration, and large-scale migrations to AWS.

Candidates should be strong with Python and SQL, and proficient in AWS services such as S3, Glue, Lambda, and Step Functions, with a focus on data security, performance, and governance. Familiarity with GitLab/Bitbucket is a plus.

Qualifications

• 5+ years of experience building data pipelines and workflows.
• Hands-on with AWS data services and secure data migration to AWS.
• Proficient in Python and SQL for data processing.
• Experience with data lake architectures and IAM/security.
• Familiar with version control (GitLab/Bitbucket).

Skills

AWS S3

AWS Glue

AWS Lambda

AWS Step Functions

ETL/ELT Pipelines

Python

SQL

Data Lake Architecture

IAM

Monitoring

Performance Tuning

GitLab/Bitbucket

Tools

GitLab

Bitbucket

Job description

Data Engineer AWS Data Platform

We are looking for a skilled Data Engineer with 5+ years of experience in building robust data pipelines, workflow orchestration, and large-scale data migration solutions.

Position Details

• Role: Data Engineer – AWS Data Platform
• Work Mode: 100% Remote
• Experience: 5+ Years
• Shift Timing: 3:00 PM – 12:00 AM IST
• CTC: Up to 30 LPA

Key Skills Required

Strong hands-on experience with AWS S3, AWS Glue, and AWS Lambda AWS Step Functions – Mandatory ETL/ELT pipeline development and workflow orchestration Data migration from legacy data warehouses and RDBMS systems to AWS S3/Redshift Strong proficiency in Python and SQL Data lake architecture, data partitioning, and distributed processing Experience with data security, IAM, monitoring, and performance optimization Familiarity with GitLab/Bitbucket and version control

Good to Have:

AWS Athena, Redshift, Lake Formation, Glue Data Catalog, Apache Airflow, IBM Cognos, and AWS SageMaker.