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# AWS Data Engineer

- **Company:** LUMINIS STUDIO, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,812.0 - $151,408.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Amazon S3, Apache HTTP Server, Big Data, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Apache Hive, Identity and Access Management, Python (Programming Language), SQL Databases, Cloud Platform System, Apache Spark, Git, Cloudformation, Data Lakes, Pyspark, Information Technology, AWS Data Analytics, Video Streaming, Terraform, Stream Processing, Data Pipelines, Amazon Elastic Mapreduce (EMR)
- **Published:** June 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=aa9362720734adf0

## About the Role

Do you have experience in Spark implementation?, Do you have a Bachelor's degree?, * 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.

## Description

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


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