Data Engineer

Role Overview

Design, develop, and maintain scalable ETL/ELT pipelines to ingest, process, and transform structured and unstructured data. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver scalable solutions.

What You Will Do

Build and optimize batch and real-time data pipelines using AWS services such as Redshift, S3, and Glue. Monitor and troubleshoot data pipelines, ensuring timely issue resolution and system stability.

Why It Might Be a Fit

Strong experience in Data Engineering and ETL/ELT development. Proficiency in SQL and data modeling concepts. Strong programming skills in Python, PySpark, or Scala.

Requirements

• Strong experience in Data Engineering and ETL/ELT development
• Hands-on experience with AWS cloud services including Redshift, S3, and Glue
• Experience building batch and real-time data processing pipelines
• Proficiency in SQL and data modeling concepts
• Strong programming skills in Python, PySpark, or Scala
• Experience with workflow orchestration tools such as Airflow or similar platforms
• Knowledge of big data technologies and distributed processing frameworks
• Understanding of data warehousing concepts and cloud-native architectures