Remote Data Engineer: AWS Glue & Data Lake

NTT DATA, Europe & LATAM, Branch in USA, Inc.; United States; Remote; USD 30,000 - 44,000; Full time

Job summary

NTT DATA, Europe & LATAM, Branch in USA, Inc. is seeking a Data Engineer specialized in AWS Glue to move data into Amazon S3 and build scalable ingestion pipelines. The role emphasizes raw-to-gold medallion architecture and cost-efficient processing for enterprise environments.

The ideal candidate has 5+ years of data engineering, strong Python/SQL/Spark skills, and experience deploying ETL pipelines with AWS Glue. Remote work from LATAM with an American client is offered.

Qualifications

• 5+ years of data engineering experience.
• Proficiency in English and Spanish, written and spoken.
• Hands-on ETL pipelines with AWS Glue and PySpark.

Responsibilities

• Design, build and maintain ingestion pipelines moving data to Amazon S3 with full/incremental loads.
• Define landing/raw zone layouts, formats, naming, compression and immutability.
• Onboard new source systems end to end, including connectivity and credentials.
• Ensure load completeness, data quality and cost efficiency across pipelines.
• Register datasets in Glue Data Catalog and collaborate with data governance.

Skills

5+ years data engineering

Bilingual EN/ES

AWS Glue + PySpark

Python

SQL

Spark

Data ingestion

Tools

AWS Glue

PySpark

Python

Job description

NTT DATA, Europe & LATAM, Branch in USA, Inc. is seeking a Data Engineer specialized in AWS Glue to move data into Amazon S3 and build scalable ingestion pipelines. The role emphasizes raw-to-gold medallion architecture and cost-efficient processing for enterprise environments.

The ideal candidate has 5+ years of data engineering, strong Python/SQL/Spark skills, and experience deploying ETL pipelines with AWS Glue. Remote work from LATAM with an American client is offered.