Senior Big Data Engineer (AWS EMR & Spark) - Q125
- Compensation
- Not disclosed
- Location
- Alpharetta, GA, USA
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Full time
- Experience
- 3+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- 3 years of experience as a Big Data Engineer with expertise in AWS EMR and Spark.
- Proficiency in building and optimizing ETL processes and data pipelines for large-scale datasets.
- Strong understanding of distributed computing principles and big data architectures.
- Experience with AWS cloud services for data storage and processing (e.g., S3, Glue).
Nice to have
- Familiarity with advanced AWS services like AWS Redshift or Lambda for integrated data workflows.
- Exposure to data lake architectures and tools like Delta Lake for enhanced data management.
- Knowledge of scripting languages like Python or Scala for Spark job development.
Full description
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients—from startups to Fortune 1000 companies—with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we’re passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Senior Big Data Engineer (AWS EMR & Spark)Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking an experienced Senior Big Data Engineer to design and implement large-scale data solutions using AWS EMR and Spark. This role focuses on building efficient ETL processes and data pipelines to support enterprise analytics and insights.
Key Responsibilities
- Design and develop scalable data pipelines using AWS EMR and Apache Spark for processing large datasets.
- Implement ETL workflows to transform and integrate data from various sources into actionable insights.
- Optimize Spark jobs on AWS EMR clusters for performance, cost-efficiency, and reliability.
- Collaborate with data analysts and scientists to support advanced analytics and reporting requirements.
- Ensure data quality, security, and compliance throughout the data lifecycle in cloud environments.
- Troubleshoot and monitor EMR clusters to maintain high availability and performance under heavy workloads.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
- 3 years of experience as a Big Data Engineer with expertise in AWS EMR and Spark.
- Proficiency in building and optimizing ETL processes and data pipelines for large-scale datasets.
- Strong understanding of distributed computing principles and big data architectures.
- Experience with AWS cloud services for data storage and processing (e.g., S3, Glue).
Preferred Qualifications
- Familiarity with advanced AWS services like AWS Redshift or Lambda for integrated data workflows.