Description

You will design and maintain data pipelines using AWS services, focusing on ETL/ELT development and orchestration.

This role is on-site.

Responsibilities

• Build and manage data engineering workflows using AWS Glue, PySpark, and Apache Iceberg.
• Orchestrate pipelines with Managed Airflow (MWAA) and ensure robust ETL/ELT processes.
• Write advanced SQL queries and Python scripts to process and transform complex datasets.
• Leverage LLMs to automate data tasks and improve pipeline efficiency.
• Collaborate on integrating SAP Sales and Order Management data with GCP platforms.

Required Skills

• 5+ years of experience in AWS Data Engineering.
• Strong proficiency in Python and Advanced SQL.
• Hands-on experience with AWS Glue, PySpark, and Amazon S3.
• Experience with MWAA (Managed Airflow) for orchestration.
• Knowledge of ETL/ELT development and data modeling.
• Familiarity with GCP services and data platforms.

Preferred Skills

• Working knowledge of SAP Sales and Order Management datasets.

Key Skills

Education

Bachelor's degree