AWS Data Engineer

About this role

Job Description – AWS Data Engineer (Remote – USA)

Role: AWS Data Engineer
Location: Remote (USA)
Experience: 5+ Years

Job Summary

We are seeking an experienced AWS Data Engineer to design, build, and optimize scalable cloud-based data platforms. The ideal candidate will have strong expertise in AWS data services, data lake architectures, ETL/ELT pipelines, and modern big data technologies including Apache Iceberg, EMR, and Aurora.

Key Responsibilities

• Design and develop scalable data pipelines on AWS.
• Build and maintain data lakes using Apache Iceberg.
• Develop ETL/ELT workflows using AWS services and big data frameworks.
• Manage and optimize AWS EMR clusters for large-scale data processing.
• Design and maintain data solutions using Amazon Aurora.
• Ensure data quality, governance, security, and performance.
• Collaborate with data analysts, architects, and business stakeholders.
• Troubleshoot production issues and optimize data workflows.

Required Skills

• Strong experience with AWS Data Engineering services.
• Hands-on experience with **Apache Iceberg**, **Amazon EMR**, and **Amazon Aurora**.
• Proficiency in Python and SQL.
• Experience with Spark, PySpark, Hive, or similar big data technologies.
• Knowledge of data warehousing and data lake architectures.
• Experience with CI/CD, Git, and Agile methodologies.
• Strong problem-solving and communication skills.

Preferred Skills

• Experience with AWS Glue, Lambda, S3, Athena, Redshift, and IAM.
• Knowledge of Terraform or CloudFormation.
• Exposure to real-time data processing and streaming technologies.

Education

• Bachelor's degree in Computer Science, Information Technology, or related field.

Work Mode: Remote (USA)
Employment Type: Full-Time

Basic Boolean:

("Data Engineer" OR "AWS Data Engineer")AND (Iceberg OR "Apache Iceberg")AND EMRAND AuroraAND (AWS OR Amazon)AND (Python OR PySpark)

Short Boolean (LinkedIn):

AWS Data Engineer AND Iceberg AND EMR AND...