AWS Data Engineer - St. Louis, MO/Louisville, KY / Cincinnati, OH / Chicago, IL/Nashville, TN

• We are seeking an enthusiastic AWS Data Engineer to design, develop, and maintain scalable cloud-based data solutions on AWS.
• The ideal candidate will have strong knowledge of AWS Cloud Services, SQL, Python, ETL/ELT processes, and cloud-native data engineering technologies.
• The role involves building scalable data pipelines, integrating multiple data sources, optimizing cloud-based data platforms, and collaborating with cross-functional teams to deliver reliable, secure, and high-performance data solutions.
• This is an excellent opportunity for early-career professionals looking to build expertise in cloud data engineering and modern AWS technologies., * Design, develop, and maintain scalable data pipelines on AWS.
• Build, optimize, and maintain ETL/ELT workflows using cloud-native technologies.
• Develop cloud-based data processing solutions using Python and SQL.
• Work extensively with AWS services including
• Amazon S3
• AWS Glue
• AWS Lambda
• Amazon Redshift
• Amazon Athena
• Amazon CloudWatch
• Integrate data from multiple data sources into cloud-based data platforms.
• Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability.
• Collaborate with cross-functional teams including developers, analysts, and business stakeholders.
• Follow enterprise best practices for data security, governance, monitoring, and documentation.
• Support continuous improvement of cloud-based data engineering processes., * Python
• SQL
• AWS Cloud Services
• Amazon S3
• AWS Glue
• AWS Lambda
• Amazon Redshift
• Amazon Athena
• Amazon CloudWatch
• Data Engineering
• Data Engineering
• ETL
• ELT
• Data Pipelines
• Data Integration
• Relational Databases
• Cloud Technologies
• AWS Cloud
• Cloud Data Engineering
• Cloud-Based Data Platforms
• Additional Technologies
• Data Security
• Data Governance
• Documentation
• Performance Optimization
• Troubleshooting, * AWS
• Amazon S3
• AWS Glue
• AWS Lambda
• Amazon Redshift
• Amazon Athena
• Amazon CloudWatch
• Python
• SQL
• Data Engineering
• ETL
• ELT
• Data Pipelines
• Data Integration
• Cloud Data Engineering
• Relational Databases
• Performance Optimization
• Troubleshooting
• Data Security
• Data Governance, Description AWS Manufacturing & Repair operations is focused on automated assembly solutions where innovative solutions are needed to accelerate overall manufacturing time for AI…
• 22 days ago

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
• 0 3 years of experience in Data Engineering, Cloud Engineering, or Software Development.
• Experience with PySpark or Apache Spark.
• Hands-on knowledge of AWS Glue, Redshift, Lambda, EMR, and Athena.
• Familiarity with Git and Linux.
• AWS Cloud Certification(s) are highly desirable.
• Experience working with cloud-native data engineering solutions.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent verbal and written communication skills.
• Ability to collaborate effectively with cross-functional teams.
• Strong attention to detail.
• Ability to work independently and manage priorities.
• Willingness to learn new cloud technologies and best practices.
• Strong organizational and documentation skills.